cover letter bioinformatics scientist

Bioinformatician Cover Letter Examples & Writing Tips

Use these Bioinformatician cover letter examples and writing tips to help you write a powerful cover letter that will separate you from the competition.

Table Of Contents

• Bioinformatician Example 1
• Bioinformatician Example 2
• Bioinformatician Example 3
• Cover Letter Writing Tips

Bioinformaticians use their knowledge of computer science and biology to develop software and databases for analyzing genomic data. They work in a variety of settings, including hospitals, research institutes, and pharmaceutical companies.

When you’re applying for a bioinformatician position, you need to make sure your cover letter stands out from the competition. Use these examples and tips to write a cover letter that will make hiring managers want to meet you in person.

Bioinformatician Cover Letter Example 1

I am excited to be applying for the Bioinformatician position at Genetech. I have a Ph.D. in Bioinformatics and five years of experience working in the field. I am confident that I have the skills and experience necessary to excel in this role.

I have a strong background in data analysis and software development. I have experience working with a variety of programming languages, including Python, R, and Java. I am also familiar with a variety of database systems, including MySQL and MongoDB. I am confident that I can quickly learn and utilize any software or database system that is needed for this position.

In my previous role at Genetech, I was responsible for developing and implementing a pipeline for analyzing next-generation sequencing data. I also created a web-based tool for data visualization. This tool was used by researchers throughout the company to help them make better decisions about their research projects.

I am a highly motivated individual who is always looking for new ways to improve my skills and knowledge. I am confident that I can be a valuable asset to Genetech and that I can help contribute to the company’s continued success. I look forward to meeting with you in person to discuss this opportunity further.

Bioinformatician Cover Letter Example 2

I am writing to apply for the Bioinformatician position that was recently advertised on the company website. I am confident that I have the skills and qualifications that you are looking for, and I am eager to put my experience to work for your organization.

I have been working as a Bioinformatician for the past three years and have developed a strong understanding of the field. I am well-versed in the use of various software programs and statistical analysis tools, and I have a track record of producing results that exceed expectations. I am confident that I can be a valuable asset to your team and I look forward to the opportunity to discuss this position further with you.

Thank you for your time and consideration.

Bioinformatician Cover Letter Example 3

I am writing to express my interest in the bioinformatician position that you have posted. I believe that my experience and education make me a strong candidate for this position.

I have been working as a bioinformatician for the past three years at the University of Michigan Medical School. My primary responsibilities include managing large data sets, developing algorithms and performing statistical analysis on these data sets. I also work closely with other scientists to develop new methods for analyzing data and interpreting results.

My background in computer science has given me an understanding of how computers work and how they can be used to solve problems. This knowledge has allowed me to develop programs that are both efficient and effective. It has also helped me to understand the limitations of computers and how they can be overcome through careful planning and design.

I have always enjoyed working with computers and have found that it is a natural fit for my skills and interests. I enjoy being able to use my creativity to solve complex problems while still using logic and reason to ensure that my solutions are sound. I also enjoy being able to work independently or as part of a team depending on the needs of the project.

I would appreciate the opportunity to meet with you in person so that we can discuss my qualifications in greater detail. I am confident that my skills and experience will allow me to contribute positively to your organization.

Bioinformatician Cover Letter Writing Tips

1. show your skills.

Bioinformaticians are responsible for managing and analyzing large amounts of data, so it’s important to show employers that you have the necessary skills for the job. Some ways of doing this include:

• Listing the software programs and tools you are familiar with, as well as how you use them to analyze data.
• Describing the types of data you are familiar with and how you analyze them.
• Providing examples of projects you have worked on in the past, and how you used bioinformatics to analyze the data.

2. Customize your cover letter

Just as you would for any other job, customize your cover letter to match the bioinformatics position you are applying for. Highlight your skills and experience that are relevant to the job, and explain how you can use them to help the company achieve their goals.

3. Show your passion for the field

Employers want to hire bioinformaticians who are passionate about the field and are excited to learn new things. Showcase your passion by using phrases like “I’m eager” and “I’m looking forward” in your cover letter. You can also describe how you became interested in bioinformatics and what drives you to continue learning in the field.

4. Proofread your cover letter

Just as with any other position, proofreading your cover letter is the first step to landing an interview. Make sure to spell-check and double-check that there are no errors in your resume or cover letter. Otherwise, you risk being disqualified before the employer even sees your qualifications.

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Scientist, Bioinformatics Cover Letter

15 scientist, bioinformatics cover letter templates.

How to Write the Scientist, Bioinformatics Cover Letter

I submit this application to express my sincere interest in the scientist, bioinformatics position.

In the previous role, I was responsible for bioinformatic and/or computational biology support to characterize disease mechanisms, mechanism of action for therapeutic interventions, and identify clinical biomarkers.

Please consider my experience and qualifications for this position:

• Outstanding communication skills are essential
• Able to work independently, as part of a larger bioinformatics team, without continuous supervision
• Able to interact successfully and productively with a broad range of individuals with diverse backgrounds, including clinicians, researchers, students, staff and faculty
• Experience in mechanistic enzymology or microbial genetics seeking challenges in plant-microbe interaction
• PhD in Computer Science, Engineering, Physics, Math, Bioinformatics, Biology or other relevant scientific discipline
• Experience with major sequence and interactome database resources such as Uniprot, ENSEMBL, GenBank, RefSeq, STRING, MINT, Reactome, IntAct, BioGrid, PDB (3D structures), including API access and web-based querying of these resources
• Flexibility with, and working knowledge of, scripting and programming languages, including Python, JavaScript (including node.js), Perl, R
• Experience with creating web-based data visualizations highly desirable

Thank you in advance for reviewing my candidacy for this position.

Haven O'Connell

• Microsoft Word (.docx) .DOCX
• PDF Document (.pdf) .PDF
• Image File (.png) .PNG

Responsibilities for Scientist, Bioinformatics Cover Letter

Scientist, bioinformatics responsible for excellent technical support for the QIAGEN Bioinformatics product lines to our users with molecular biology, Next Generation Sequencing and bioinformatics background-.

Scientist, Bioinformatics Examples

Example of scientist, bioinformatics cover letter.

I am excited to be applying for the position of scientist, bioinformatics. Please accept this letter and the attached resume as my interest in this position.

Previously, I was responsible for support for molecular/structural biology projects, as well as immunogen testing and analysis for an effective HIV vaccine and vaccines for other viruses.

I reviewed the requirements of the job opening and I believe my candidacy is an excellent fit for this position. Some of the key requirements that I have extensive experience with include:

• Proficiency in C/C++ or similar programming languages preferably low level
• Interested in working in the field between biology and software
• Curious and fast learner of new technologies
• Extensive knowledge and deep understanding of admixture, algorithms, data structures, scientific process, bioinformatics and biostatistics, and file formats (CEL, FASTQ, and BAM)
• Proficiency in scripting languages such as Perl or Python
• Experience in bioinformatics programming skills in scripting or programming languages such as R, Perl, Python
• Experience with BASH scripting and Unix/Linux command line tools and with databases, particularly MS SQL Server or Postgres
• Self-starter with appetite for solving problems in complex systems

Alexis Carter

In the previous role, I was responsible for enzymology expertise to target biology and drug discovery in broad therapeutic areas (cardio-renal and metabolic diseases, ophthalmology, immunology and oncology).

• Experience with MPS-based technologies
• Demonstrated expertise and experience in scripting languages, with knowledge of Linux and cloud environments
• Practical experience working with human DNA forensics
• Possesses a sound knowledge of statistics and quantitative modeling, solid computer programming skills
• Working well with people from various organizational disciplines and with people who have varying degrees of technical experience
• Prior experience in the pharmaceutical industry or a related field is preferred
• Familiarity with Amazon web services (EC2, S3) is preferred
• Familiarity with clinical trial datasets is preferred

I really appreciate you taking the time to review my application for the position of scientist, bioinformatics.

Emerson Ratke

In the previous role, I was responsible for subject Matter Expertise (SME) in molecular biology, oncology, immunology, and/or human genetics.

• · MS or Ph.D in Bioinformatics, Computational Biology, or Information Technology
• Good written and oral communication skill in both English and Chinese
• Proficiency in programming in C/C++/C#, Perl/Python, Matlab/R
• Deep understanding of probabilistic modeling, statistics, data structures, classic genomic algorithms such as sequence alignment and variant calling algorithms
• Analytical, detail-oriented, organized, problem solver
• Self-starter, self-motivated and independent but can work well in a cross-functional team
• Experience working with NGS data for genomic and transcriptomic analyses
• Familiarity with HPC clusters, in particular SGE desirable

Avery Spencer

In the previous role, I was responsible for leadership to BTEC, particularly in the areas of assay development and molecular biology.

Please consider my qualifications and experience:

• Proficient in programming languages such as R, Python, C# or Java
• Experience with quantitative polymerase chain reaction (qPCR), Whole Genome Mapping, and/or NGS market is preferred
• Web-based application design skills
• Scripting language skills (Python, Perl)
• Demonstrated success in working with interdepartmental groups
• In-depth knowledge of industry, customer base, and bioinformatics products
• Standard Office Environment and/or Home Office
• Long periods of time working on a computer

Thank you for taking your time to review my application.

In response to your job posting for scientist, bioinformatics, I am including this letter and my resume for your review.

Previously, I was responsible for consultation and troubleshooting for the molecular biology services.

• Statistical and omics packages
• Practical experience with analytical methods including network reconstruction, quantitative modelling, causal inference testing, Bayesian statistics and next generation sequencing (NGS) data analysis
• PhD or Master in Bioinformatics, applied Computer Science, Mathematics, Physics, or Statistics
• Experience with Next Generation Sequencing (NGS) preferred
• Track record in combining analytic methods with data visualizations
• Basic understanding or working knowledge of software testing
• Very good knowledge of cheminformatics and bioinformatics applied to metabolomic data
• Good working knowledge of mass spectrometry analysis of small molecules

Thank you for considering me to become a member of your team.

Charlie Schumm

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5 Molecular Biologist Cover Letter Examples

Molecular biologist cover letter examples.

A well-tailored cover letter can make a significant difference in a molecular biologist's job application. In a competitive job market, where numerous qualified candidates are vying for limited positions, a compelling cover letter can help your application stand out and increase your chances of securing an interview.

A cover letter serves as your introduction to potential employers and allows you to showcase your skills, qualifications, and enthusiasm for the role. It provides an opportunity to highlight relevant experience and accomplishments that may not be evident in your resume alone. By customizing your cover letter to align with the specific requirements of each position you apply for, you can demonstrate your knowledge of the field and your suitability for the role.

In this article, we will provide you with several examples of effective cover letters for molecular biologists. These examples will highlight different approaches and styles, giving you a better understanding of how to craft a compelling cover letter that makes an impact. By analyzing these examples, you will gain insights into the key elements that make a cover letter successful and learn how to avoid common mistakes. Let's dive in and explore these examples to enhance your cover letter writing skills.

Example 1: Research Scientist Cover Letter

Key takeaways.

Emily's cover letter effectively positions her as a strong candidate for the Research Scientist position at Genentech.

It's important to highlight your relevant experience and skills that align with the company's mission and values. This demonstrates your potential to contribute to their scientific advancements and goals.

She emphasizes her key achievement of identifying a potential biomarker for early detection of Alzheimer's disease, showcasing her ability to make significant contributions to scientific research.

Highlighting specific achievements and their potential impact in your cover letter helps to demonstrate your expertise and the value you can bring to the organization.

Emily could have further highlighted her specific qualifications and technical expertise in the field of research, such as her educational background or any relevant certifications.

Don't forget to mention your educational qualifications, certifications, or any specialized training that is relevant to the research scientist role. This helps to establish your credibility and expertise in the field.

Example 2: Clinical Molecular Biologist Cover Letter

Daniel's cover letter effectively showcases his expertise and experience in the field of clinical molecular biology, making him a strong candidate for the position at Mayo Clinic.

When applying for a highly specialized role like clinical molecular biologist, it's important to highlight your specific technical skills and experience in the field. This demonstrates your ability to contribute immediately and effectively to the organization.

Daniel emphasizes his experience in clinical laboratory settings, highlighting his ability to conduct molecular tests, analyze results, and report findings to physicians. This showcases his proficiency in the key responsibilities of a clinical molecular biologist.

Emphasize your practical experience in conducting molecular tests and analyzing results. This highlights your ability to perform the essential duties of a clinical molecular biologist and demonstrates your familiarity with the laboratory environment.

Additionally, Daniel mentions his leadership experience in developing a novel diagnostic assay for detecting genetic mutations. This demonstrates his ability to drive innovation and collaborate effectively with other healthcare professionals.

Highlight any leadership or project management experience you have in the field of molecular biology. This showcases your ability to lead and contribute to cutting-edge research projects, making you a valuable asset to the team.

While Daniel's cover letter effectively highlights his technical skills and experience, he could further tailor his application to Mayo Clinic by mentioning specific research areas or projects that align with the institution's focus.

Research the specific areas of molecular biology that Mayo Clinic is known for and mention any relevant experience or interest you have in those areas. This shows your alignment with the institution's research goals and strengthens your candidacy.

Example 3: Biotechnology Cover Letter Example

Sarah's cover letter effectively highlights her relevant experience and aligns her skills with Amgen's focus on advancing science and improving patient lives.

When applying for a biotechnology position, it is crucial to demonstrate your understanding of the company's mission and values. This shows your genuine interest in their work and your potential to contribute to their scientific advancements.

By showcasing her experience in biotechnology research, Sarah establishes her credibility and expertise. She specifically mentions her contributions to the development of a novel drug delivery system and a groundbreaking gene therapy.

Emphasize your key achievements and their impact on the field of biotechnology. This demonstrates your ability to drive innovation and make significant contributions to scientific advancements.

Sarah could further strengthen her cover letter by mentioning any specific technical skills or certifications relevant to the biotechnology field.

Highlight any specialized laboratory techniques, molecular biology skills, or certifications you possess. This demonstrates your technical proficiency and makes you a more competitive candidate in the biotechnology industry.

Example 4: Pharmaceutical Research Cover Letter

Michael's cover letter effectively showcases his experience and expertise in the field of pharmaceutical research, positioning him as a strong candidate for the position at Johnson & Johnson.

When applying for a pharmaceutical research position, it is crucial to highlight your relevant experience and accomplishments in the field. This demonstrates your ability to contribute to the research and development efforts of the company.

He highlights specific achievements from his previous roles, such as his involvement in the development of a new drug formulation and a novel drug delivery system. These examples clearly demonstrate his ability to contribute to innovative research projects and his impact on the advancement of pharmaceutical science.

Including specific examples of your contributions and achievements in pharmaceutical research can help set you apart from other candidates. Highlight projects that showcase your problem-solving skills, scientific knowledge, and ability to drive innovation.

Michael also mentions his current role as a Pharmaceutical Research Scientist at AbbVie Inc., where he is leading a team in the development of innovative therapies. This demonstrates his leadership skills and his ability to manage complex research projects.

If you have experience in leading research teams or managing projects, be sure to mention it in your cover letter. This shows your ability to take on responsibilities and effectively collaborate with others in a research environment.

Overall, Michael's cover letter effectively communicates his passion for scientific innovation and his ability to contribute to the groundbreaking research efforts of Johnson & Johnson.

Example 5: Genetics Cover Letter Example

Jessica's cover letter effectively highlights her experience and expertise in the field of genetics, positioning her as a strong candidate for the Genetics position at Illumina.

When applying for a niche role like genetics, it's crucial to showcase your specific skills and experience in the field. This demonstrates your understanding of the industry and your ability to contribute to cutting-edge research.

She emphasizes her experience in conducting experiments, analyzing data, and interpreting results, showcasing her ability to generate meaningful insights from complex genetic data.

Highlight your analytical skills and your ability to derive insights from genetic data. This demonstrates your ability to contribute to the research process and make valuable contributions to the field.

Jessica also mentions her experience in operating and maintaining DNA sequencing equipment, along with her ability to troubleshoot technical issues. This demonstrates her technical expertise and ability to ensure that research projects run smoothly.

Showcase your technical skills and experience with DNA sequencing equipment. This highlights your ability to handle the practical aspects of genetics research and contribute to the success of projects.

Overall, Jessica's cover letter effectively conveys her passion for genetics and her alignment with Illumina's commitment to advancing genetics research.

Demonstrate your passion for genetics and align it with the company's mission and values. This shows your genuine interest in the role and your potential to contribute to the organization's goals.

Skills To Highlight

As a molecular biologist, your cover letter should highlight the unique skills that make you a strong candidate for the role. These key skills include:

Experimental Design : As a molecular biologist, you will be designing and conducting experiments to investigate biological processes and analyze data. Showcasing your experience in experimental design demonstrates your ability to develop and implement effective research strategies.

Data Analysis : Molecular biologists often work with large datasets and use statistical analysis to interpret the results of their experiments. Highlight your proficiency in data analysis techniques, such as statistical software packages like R or Python, as well as your ability to draw meaningful conclusions from complex data.

Molecular Cloning : Molecular cloning is a fundamental technique in molecular biology, used to create copies of specific DNA sequences. Emphasize your experience with molecular cloning techniques, including DNA extraction, PCR amplification, gel electrophoresis, and DNA sequencing.

Genetic Engineering : Genetic engineering plays a crucial role in molecular biology, allowing scientists to modify DNA sequences to study gene function or develop new biotechnological products. Highlight your expertise in genetic engineering techniques, such as gene knockout, gene overexpression, or gene editing using CRISPR-Cas9.

Proficiency in Laboratory Techniques : Molecular biologists spend a significant amount of time conducting experiments in the laboratory. Showcase your proficiency in a wide range of laboratory techniques, including DNA and RNA isolation, protein purification, cell culture, microscopy, and various molecular biology assays.

Knowledge of Molecular Biology Methods : Molecular biologists should possess a deep understanding of molecular biology methods and techniques. Discuss your knowledge of techniques such as PCR, DNA sequencing, Western blotting, immunohistochemistry, flow cytometry, or next-generation sequencing. This demonstrates your familiarity with the tools and methods commonly used in the field.

Biosafety and Laboratory Regulations : Molecular biologists work with potentially hazardous biological materials and must adhere to strict biosafety protocols and laboratory regulations. Highlight your knowledge and experience in following safety guidelines, maintaining laboratory cleanliness, and accurately documenting experimental procedures.

Critical Thinking and Problem-Solving : Molecular biologists often encounter complex scientific problems that require critical thinking and problem-solving skills. Discuss your ability to analyze experimental results, troubleshoot issues, and propose innovative solutions to scientific challenges.

Communication Skills : Effective communication skills are essential for molecular biologists to present their research findings, collaborate with colleagues, and write scientific papers. Highlight your ability to communicate complex scientific concepts clearly and concisely, both verbally and in writing.

Attention to Detail : Molecular biology experiments require precise measurements, accurate record-keeping, and attention to detail. Emphasize your ability to work meticulously and maintain high-quality standards in laboratory procedures and data analysis.

Remember to tailor your cover letter to the specific job requirements and highlight the skills that align with the position you are applying for. By showcasing your expertise in these key skills, you can demonstrate your suitability for a molecular biology role and increase your chances of landing an interview.

Common Mistakes To Avoid

When crafting your cover letter as a molecular biologist, it's important to avoid these common mistakes:

Lack of Research : One of the biggest mistakes you can make in your cover letter is not showcasing your specific research experience. As a molecular biologist, employers are looking for candidates who have a strong background in molecular biology and related fields. Make sure to highlight your research projects, publications, and any specialized techniques or methodologies you have experience with. This will demonstrate your expertise and make you stand out as a qualified candidate.

Lack of Enthusiasm : Another common mistake is failing to convey your enthusiasm for the field of molecular biology. Employers want to see that you are passionate about your work and excited about the opportunity to contribute to their scientific goals. Use your cover letter to express your excitement for the field, highlight any relevant achievements or awards, and explain why you are interested in the specific company or research area. This will show employers that you are motivated and dedicated to your work.

Failure to Highlight Relevant Expertise : It's important to highlight how your expertise as a molecular biologist can contribute to the company's scientific goals. Many candidates make the mistake of simply listing their qualifications without explaining how they can be applied to the specific role or company. Take the time to carefully review the job description and research the company to understand their needs and priorities. Then, tailor your cover letter to address these specific areas and explain how your skills and experience align with their requirements. This will demonstrate that you have a clear understanding of the role and are a good fit for the company.

Ignoring the Importance of Communication Skills : While technical expertise is crucial for a molecular biologist, it's also important to highlight your communication skills. Employers are looking for candidates who can effectively communicate their research findings and collaborate with colleagues. Make sure to mention any experience you have with presenting at conferences, writing scientific papers, or working in a team-based environment. This will show that you not only have the technical skills required for the role, but also the ability to effectively communicate and collaborate with others.

By avoiding these common mistakes, you can ensure that your cover letter as a molecular biologist stands out and effectively showcases your skills and qualifications for the role.

In conclusion, the cover letter is an essential tool for a molecular biologist in their job search. It provides an opportunity to showcase their skills, experience, and passion for the field. By following the examples and tips provided in this article, applicants can create a compelling cover letter that stands out to employers.

Remember to tailor the cover letter to each specific job application, highlighting relevant skills and experiences. Use a professional and concise writing style, and make sure to address the hiring manager by name if possible. Additionally, be sure to proofread the cover letter carefully for any errors or typos.

A well-crafted cover letter can greatly enhance a molecular biologist's chances of landing a rewarding position in this competitive field. It allows applicants to make a strong first impression, demonstrate their qualifications, and showcase their enthusiasm for molecular biology. By putting in the time and effort to create a compelling cover letter, applicants can set themselves apart from the competition and increase their chances of securing their dream job.

So, take the time to carefully craft your cover letter, using the examples and tips provided in this article. With a well-written cover letter, you can confidently apply for molecular biologist positions and increase your chances of success. Good luck!

Bioinformatician Cover Letter Sample

If you are a bioinformatician looking for a cover letter that will help you land a new job, you need to check out our guide today. Our guide includes the best tips for creating a cover letter that will impress potential employers, as well as advice on how to stand out from the competition. You will learn everything you need to know to create a powerful and persuasive bioinformatician cover letter that will help you land your dream job. So, don't wait any longer – check out our guide today and start landing the jobs you want!

Dear [Hiring Manager], I am writing to apply for the position of Bioinformatician at [Company Name]. With a strong background in computational biology and bioinformatics, I am confident that my skills and experience make me an ideal candidate for the role. I have a Bachelor’s degree in Computer Science and a Master’s degree in Computational Biology from [University Name], and I am currently pursuing a PhD in Bioinformatics from [University Name]. I have extensive experience with a broad range of bioinformatics tools, from sequence analysis and gene expression analysis to protein structure prediction and molecular modeling. I am also proficient in programming languages such as Java, Python, and R. I have experience working in both academic and industrial research environments. During my time as a research assistant at [University Name], I developed a novel algorithm for predicting protein-protein interactions. I have also worked for [Industry Name], where I developed a web-based system for gene expression analysis. In addition to my technical skills, I have excellent communication, problem-solving, and organizational skills. I have experience working in teams and have demonstrated the ability to work independently. I am confident that I have the necessary skills and experience to make a significant contribution to the company. I am excited about the opportunity to work for [Company Name] and am eager to utilize my skills and knowledge to help further the company’s mission. Thank you for your time and consideration. I look forward to hearing from you. Sincerely, [Your Name]

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How to Write an Effective Cover Letter for a Research Scientist Job

This article offers a template with examples of an effective cover letter for a research scientist job. Let’s explore some tips to help you write your own.

Research scientists are a critical component of the life science industry. According to the Bureau of Labor Statistics (BLS) , medical scientists earn a median annual salary of $84,810 and typically have a doctoral or professional degree.

Some may have an M.D. but conduct research in addition to, or instead of, practicing as a physician. The BLS projects job growth for medical scientists at a faster-than-average 8% up to 2028.

Various structures are possible for cover letters, and hiring decision-makers don’t offer a consensus on the best structure. But if you’re inexperienced with cover letters, the following offers a basic roadmap for getting started.

How to Write a Cover Letter for a Research Scientist Job

One thing that’s changed in recent years since many professionals first started writing about cover letters is people’s attention spans.

Hiring professionals used to recommend a maximum of four paragraphs – and some people can still get away with four. Three, however, is a safer limit these days, and the full letter should never be more than a page. Some experts say hiring managers scan the whole letter in about 10 seconds.

Here’s a structure for your cover letter, including an optional paragraph:

Opening Paragraph

Do not waste the opening paragraph of your cover letter. It is essential that the first paragraph sparks the employer’s interest, provides information about the benefits the employer will receive from you, and helps you stand out from all the other job seekers. Right from the get-go, identify one or two benefits you can offer the employer and tell how you can make a difference for the organization.

Weak opening paragraph: I am writing today to apply for the research scientist position you have posted on BioSpace.

Better opening paragraph: My Ph.D. in molecular biology and five years as a postdoctoral fellow in the U.S. and in Switzerland, along with my leadership skills and ability to contribute collaboratively, will enable me to enhance your lab’s success in a research scientist capacity, per your current job posting on BioSpace.

Optional Next Paragraph

Provide more detail about your professional and academic qualifications to make it an effective cover letter. Include more information about how you can provide the benefits you mention in the first paragraph. Expand on specific items from your resume that are relevant to the job you are seeking. Use solid action verbs to describe your accomplishments and achievements. If responding to a job posting or job ad, be sure to tailor this paragraph to the needs described in the ad.

Sample Paragraph

I offer proficiency in cell biology, techniques in molecular biology in general, and RNA methodologies in particular, encompassing various techniques of DNA and RNA isolation, linear RNA amplification for microarray hybridization, RNA microinjection, RT-PCR and quantitative RealTime PCR (TaqMan), in-situ hybridization, as well as a wide variety of lab techniques and computer skills, as outlined in my CV.

Second or Third Paragraph

Relate yourself to the company, giving details on why you should be considered for the position. Continue expanding on your qualifications while showing your knowledge of the company. Be sure you’ve done your homework. To make an effective cover letter, show that you know something about the organization.

Sample Paragraph :

My current experience as a postdoctoral research associate in the Molecular Biology Group at Novartis Pharmaceuticals AG in Basel, Switzerland, translates well to the requirements of your research-scientist position. These past three years at a leading international pharmaceutical company, along with two years of postdoctoral research at the Center for Developmental Biology, University of Texas, have bolstered an eclectic combination of skills that gives me a solid foundation upon which to make an immediate and meaningful contribution at your lab.

Closing Paragraph

The final paragraph of an effective cover letter must be proactive – and a call to action. You must ask for the job interview (or a meeting) in this paragraph. You must express your confidence that you are a perfect fit for the job. You must also put the employer on notice that you plan to follow up within a specified time.

Don’t leave the ball in the employer’s court. Too many cover letters end with a line like this: “If you are interested in my qualifications, please call me.” Proactive cover letters, in which the job seeker requests an interview and promises to follow up with a phone call, are far more effective.

Weak closing paragraph: I hope you will review my resume, and if you agree with what I have stated here, consider me for the position. I look forward to hearing from you soon.

Better closing paragraph: I am eager to help advance the success of your company, and I am confident that we should arrange a time to meet. I will call your office in the next week to schedule an appointment.

Tips and Tricks

Employer focus. Avoid telling the employer what the company can do for you instead of what you can do for the company. This rookie mistake is particularly common among new college graduates and other inexperienced job seekers. In most cases, employers are in business to make a profit. They want to know what you can do for their bottom line, not what they can do to fulfill your career dreams. Keep it concise and edit. Your letter should be not only fairly short, but also concise and pithy. Edit your letter mercilessly. Follow the journalist’s credo: Write tight! Cut out all unnecessary words and jargon. Then go back and do it again.

Proofread. If your timeframe will allow it, put your cover letter down, and then pick it up a day or two later as though you were the prospective employer. Does it grab and hold your attention? Is it concise? Is it free of typos, misspellings, and grammatical errors? Is it interesting? Is it looking like an effective cover letter? If you were the employer, would you know what this job seeker wants to do and why he or she is the best person to do it?

If you would not invite a job seeker with your cover letter for an interview, consider rewriting it to give yourself the best possible chance of securing the job.

1 Biotechnology Cover Letter Example

Biotechnologists are experts at manipulating biological systems to create or improve products, turning complex scientific concepts into tangible results. Similarly, your cover letter is your chance to transform your professional experiences and skills into a compelling narrative that captures the attention of recruiters. In this guide, we'll delve into the best cover letter examples for Biotechnologists, helping you to craft a narrative that showcases your expertise and passion for the field.

Cover Letter Examples

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The best way to start a Biotechnology cover letter is with a strong opening that grabs the reader's attention. Begin by addressing the hiring manager by name, if possible, to establish a personal connection. Then, succinctly express your enthusiasm for the role and the company, highlighting a key achievement or relevant experience that aligns with the job requirements. For example: "Dear Dr. Smith, I am thrilled to apply for the Molecular Biologist position at XYZ Biotech, where my publication on CRISPR gene-editing techniques could contribute to your innovative gene therapy projects." This approach demonstrates your specific interest in the position and showcases your relevant expertise in the biotechnology field.

Biotechnologists should end a cover letter by summarizing their interest in the position and their qualifications. They should express enthusiasm for the opportunity to contribute to the company or institution. For example, "I am excited about the prospect of bringing my unique skills and experiences in biotechnology to your esteemed organization. I am confident that I can contribute significantly to your team and look forward to the possibility of discussing my application further." It's also important to thank the reader for their time and consideration. Always end with a professional closing like "Sincerely" or "Best regards," followed by your full name. Remember, the ending of your cover letter is your final chance to make a strong impression, so make it count.

A cover letter for Biotechnologists should ideally be about one page long. This length is generally sufficient to succinctly introduce yourself, explain why you are interested in the role, highlight your most relevant skills and experiences, and conclude with a strong closing statement. It's important to keep it concise and to the point, as hiring managers often have many applications to go through. A clear, well-structured letter that effectively communicates your suitability for the role can help you stand out. Remember, the cover letter is your opportunity to make a strong first impression, so make every word count.

Writing a cover letter with no experience in Biotechnology can seem challenging, but it's important to remember that everyone starts somewhere. Here's how you can approach it: 1. Start with a Strong Opening: Begin your cover letter by stating your interest in the position and the company. Explain why you are interested in the field of biotechnology and how your interest was sparked. 2. Highlight Relevant Skills: Even if you don't have direct experience, you may have transferable skills that are relevant to the job. These could be from your education, internships, research projects, or even hobbies. For example, if you have a strong background in biology or chemistry, or if you've done any lab work or research, these are all relevant to a career in biotechnology. 3. Showcase Your Education: If you're a recent graduate, highlight your degree and any relevant coursework or projects. This can show that you have a solid foundation in the field, even if you haven't worked in it yet. 4. Show Enthusiasm and Willingness to Learn: Employers understand that entry-level candidates may not have a lot of experience. What they're looking for is someone who is eager to learn and grow. Make sure to express your enthusiasm for the field and your willingness to learn and adapt. 5. Close Strong: In your closing paragraph, reiterate your interest in the position and the company. Thank the hiring manager for considering your application and express your hope for the opportunity to further discuss your qualifications. 6. Proofread: Finally, make sure to proofread your cover letter carefully. A well-written, error-free cover letter can help make a great first impression, even without experience. Remember, everyone has to start somewhere, and a well-crafted cover letter can help you highlight your potential and passion for the field of biotechnology.

Related Cover Letters for Biotechnologys

Biomedical engineer cover letter.

Research Scientist Cover Letter

Data Scientist Cover Letter

Chemical Engineer Cover Letter

Quality Assurance Cover Letter

Biotechnology Cover Letter

Biotech Lab Assistant Cover Letter

Biotechnologist cover letter, related resumes for biotechnologys, biotechnology resume example.

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Scientist cover letter example

Introduction of a scientist cover letter

Scientist cover letter body.

The nuances of scientific career success are often impossible to convey in a factual resume. The scientist cover letter offers the chance to explore some of your key accomplishments in detail, sharing how you work with others and how you deal with the inevitable obstacles. It is these personal touches that interest your future boss.

The scientist cover letter is a starting point for an interview. Think about your science stories that most fit the future role. The hiring manager will then take their lead from what you share.

Bear in mind the employer’s corporate culture and try to adopt the language of the laboratory where you will be working. The language that you use in your cover letter will be noted.

Dear Mrs. Green,

I am writing to express my strong interest in the Scientist position at Pfizer. As a highly motivated and skilled life sciences professional with a Ph.D. in Biochemistry and over five years of experience in pharmaceutical research, I am confident that my qualifications and passion for scientific innovation make me an ideal candidate for this role.

Throughout my academic and professional career, I have developed a deep understanding of the drug discovery process and have consistently demonstrated my ability to design and execute complex research projects. My expertise in protein chemistry, cell biology, and assay development has enabled me to contribute to the advancement of multiple drug discovery programs.

In my current role as a Senior Scientist at Merck, I have been responsible for leading a team of scientists in the development of novel small molecule inhibitors for the treatment of oncology indications. My work has involved the design and optimization of high-throughput screening assays, the analysis of complex datasets, and the identification of lead compounds for further development. Through my efforts, I have successfully identified several promising drug candidates that have progressed to preclinical studies.

One of my notable achievements was the development of a novel assay platform that significantly improved the efficiency and accuracy of our drug screening process. By collaborating with cross-functional teams, including bioinformatics and automation specialists, I helped to reduce screening timelines by 30% and increase the quality of our data output. This innovation has been widely adopted across the organization and has contributed to the acceleration of our drug discovery efforts.

I am particularly drawn to Pfizer's commitment to pushing the boundaries of scientific innovation and developing life-changing therapies for patients in need. I believe that my research expertise, problem-solving skills, and dedication to scientific excellence would make me a valuable addition to your research team.

Thank you for considering my application. I look forward to the opportunity to discuss further how my skills and experience can contribute to the groundbreaking research being conducted at Pfizer.

Thomas Brooks

Sections of a scientist cover letter

The scientist cover letter should cover some of the highlights of your career, but only the stories that are relevant to what you will be doing next. What are your motivations for the role? How does the job fit in with your wider career plan? What are the personal traits that will ensure that you become a valuable member of the lab team?

You likely have a lot to say, so it is important to choose an effective structure for the scientist cover letter.

• Cover letter header . Include your contact details—full name, email, mobile, and maybe LinkedIn account. Including your pronouns is also a valid choice that many candidates are following.
• Greeting . Look up the hiring manager if they are not included in the job description. Try to personalize the letter—you may be speaking directly to your future boss.
• Introduction . Start with your most relevant scientific accomplishment. Remember, this is just an introduction. Leave the full detail until the interview but quantify the achievement to offer some sense of scale if possible.
• Body . Make sure that the body of the cover letter is full of scientific success. Don’t waffle too much and quantify your accomplishments where possible. Ask yourself whether you are sharing things that will truly elevate you above the competition.
• Conclusion . The last few sentences should focus on your desire to find out more about the role. Every scientist is curious. This is a great way to prompt the hiring manager to invite you to an interview.
• Signature . End the cover letter with a professional goodbye.

Every section of your cover letter should fit together to further your narrative. Tailoring your letter to the precise needs of the role is essential. Go beyond what is written in the job description. What are the real challenges in the role that few others will be able to handle?

Brevity is key. A one-page cover letter is more than enough for any scientist. While your results should be easily measurable in your resume, those few lines of personality and motivation will complement your accomplishments nicely.

Need more inspiration? View our other related cover letter examples from this sector:

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For more cover letter advice, check out our comprehensive guide on how to write a cover letter .

After designing the header and addressing the hiring manager , it is time to get into your scientific career sales pitch.

Thinking about how to start a cover letter can be confusing for a scientist. Their job is so complicated, so simplifying it into a few select stories may take some time. Which projects are most suitable to include? How much detail should they share about their lab work? What will resonate with their future boss?

Select the most complicated and scientifically advanced project that you can, showcasing your knowledge of cutting-edge technology and your ability to achieve results within the context of a wider team. Very little great science happens in isolation.

Dear Mr. Whittle,

With over six years of experience and a proven track record of increasing lab efficiency by 40% and reducing cross-contamination incidents by 30%, I am eager to contribute to your innovative team. My expertise in microbiological techniques and data analysis has enabled me to effectively streamline processes and enhance quality control measures.

Hi, I like being a scientist and working in laboratories on interesting projects. I have a biosciences degree and am interested in furthering my knowledge in biotechnology. I would love to work with an industry leader in this field.

Including figures and percentages is essential for any scientist. The hiring manager has to understand that you measure everything that you do. If a figure is not that impressive, leave it out. Is reducing cross-contamination by 30% really that impressive?

In the body of your cover letter, consider the following template:

• Think about the value that you add, over and above the laboratory job description.
• Mention your teamwork skills, i.e. how you achieve with those around you.
• Come across as meticulous, curious, and ambitious. You will go the extra mile.
• End with a sense of urgency.

First body paragraph: your suitability for the role (skills & experience)

There are a few different approaches for the first paragraph of the cover letter. They will depend on the nature of the role. Here are a few ideas that may work for you:

• Highlight your education . ​​Sharing the latest courses and qualifications is a great way of showing a scientist hiring manager that your knowledge is cutting edge.
• Emphasize the specifics of the science . Don’t be afraid to go deep into the details of what you have done. This is a risk, but if you are certain about the demands of the job it is a great way to differentiate yourself from other generic cover letters.
• Demonstrate being process-driven but creative . Scientists are driven by laboratory processes, but how do you cope when things go wrong? Show that you have you have what it takes to deal with unexpected situations and get things back on track.

Browse the LinkedIn profile of people that you will be working with. They will likely share information about their most recent work. Make sure that you do it in incognito mode though – you don’t want to seem like a stalker.

Second body paragraph(s): alignment with the organization

When you think about the employer that you are joining, consider the skills that they need you to bring to work. This will very much depend on the type of science that you will be involved with, but there is certainly plenty of crossover.

According to the American Society for Molecular Biology , the top ten real-world skills that scientists bring to the workplace are:

Teamwork, mentoring, teaching, project management, independent learning, clear writing, presentation design, public speaking, data organization, and problem-solving.

Call to action & conclusion: finish off strong

Sum up your cover letter in the final lines and leave the hiring manager curious to find out more about you during a potential interview.

Share that you are also looking forward to finding out more. This call-to-action will show that you are keen and may hint that you won’t be on the job market for long.

You might wish to express your gratitude for the opportunity of an interview.

Conclude by signing off with your name . Make sure that you include first name and surname – don’t risk ruining your chances by being too casual.

How to write a scientist cover letter with no experience 

It is unlikely that you will get a scientist role with zero experience, but if you have done things like volunteering and internships, it is likely that you will have enough to talk about in that first permanent job interview.

Consider these points:

• Highlight transferable skills . While you might not have a lot of lab experience, communication and interpersonal skills can be transferable from many other jobs that you may have done thus far.
• Showcase accuracy and attention to detail . If you are a fast learner, you will cope with working in the demands of a busy lab. Having said this, without detail-orientation, you won’t last long.
• Mention industry experience . It may help if you have worked in a non-scientific role in your target industry. Any kind of transferable experience might make a difference.

These points will help balance out the lack of direct experience. For more detailed advice, check out our guide on writing a cover letter with no experience .

Key takeaways

A successful scientist cover letter highlights your relevant skills , experiences, and role fit.

Try our cover letter builder to experiment with the possibilities. Don’t send the cover letter off until you are happy with it.

Free professionally designed templates

The Bioinformatics Scientist specializes in understanding regulatory submission documentation to effectively communicate vital details to the Regulatory team. This responsibility involves engaging with the bioinformatics team to bolster support for Regulatory inquiries and needs, ensuring alignment with clinical validation protocols. Additionally, the scientist will design and implement cutting-edge scientific algorithms and tools, aimed at advancing research and development initiatives within the bioinformatics field.

An Introduction to Professional Skills and Functions for Bioinformatics Scientist with a Cover Letter

1 . job description for bioinformatics scientist cover letter.

• Design statistical and machine-learning models to analyze large-scale collections of sequence data
• Bring new insight into biological problems by applying new informatic algorithms
• Integrate transcriptomics data with different data (e.g. proteomics, metabolomics)
• Ensure awareness of recent success within bioinformatics and state-of-the-art machine learning
• Automate design and analysis pipelines for target screening and sequencing analysis
• Prepare and present research in top-leading journals or conferences
• Prepare and present written and oral reports/dashboards to scientists/non-scientists
• Perform statistical analyses of high throughput genomics data by using and/or adapting existing computational pipelines and algorithms.
• Learn to write code to process genomic data sets, generate reports, and present the results to collaborators.
• Work from standard analysis pipelines and learn to modify code to fit individual projects.
• Interact closely with CoLab members and collaborate with other bioinformaticians doing similar work

Skills: Statistical Modeling, Machine Learning, Bioinformatics Algorithms, Data Integration, Bioinformatics Advancements, Pipeline Automation, Research Presentation, Report Preparation

2 . Details for Bioinformatics Scientist Cover Letter

• Use existing bioinformatics tools to analyze the sequence data generated in pipelines.
• Perform quality analysis of the generated sequencing data and develop solutions to enhance future performance
• Perform different types of data analysis relating to the genomics-based approaches utilized by the lab independently.
• Maintaining and troubleshooting existing bioinformatics pipelines
• Develop new bioinformatics pipelines to support new molecular assays
• Work with lab users to analyze biology data and address research needs using bioinformatics techniques and tools
• Present results of the analyses to the team members, and participate in research and development activities
• Complete all data analysis on assigned client programs, including experiment definition and execution of the opportunities of each program.
• Understand and operationalize business requirements into analysis tasks without technical supervision.
• Responsible for estimating timelines and communicating program status.

Skills: Bioinformatics Tool, Quality Analysis, Solution Development, Genomics, Pipeline Maintenance, Troubleshooting, Pipeline Development, Data Analysis

3 . Roles for Bioinformatics Scientist Cover Letter

• Assist with the design, analysis, and interpretation of NGS-based experiments to characterize the activity of compounds in cells and in vivo.
• Integrate data from multiple internal and external sources to identify and select new targets, discover biomarkers, and define patient populations.
• Identify new opportunities to unlock value from experimental data and accelerate the company’s drug discovery efforts.
• Actively participate in R&D meetings, present results to colleagues, and collaborate on publications.
• Design, implement, assess, and optimize sophisticated pipelines and algorithms 
• Process and visualize new types of large-scale, high-dimension NGS data, and draw actionable biological insights therefrom
• Advance complex R&D roadmaps via fast-turnaround prototyping of NGS pipelines for exploratory analyses
• Help establish the intellectual foundations and computational infrastructure for complex global technology projects
• Work with a broader, integrated team of laboratory and data scientists developing major new genomics tech
• Communicate internally and with external partners via oral updates, written reports, and technical meetings

Skills: NGS-Based Experiment, Data Integration, Value Extraction, Collaboration, Pipeline, Data Processing, NGS Pipelines, Collaboration

4 . Responsibilities for Bioinformatics Scientist Cover Letter

• Primary upstream manipulation and processing of raw Next Generation Sequencing data for entry into downstream analytical pipelines.
• Develop sophisticated models and innovative analyses to extract meaningful and actionable information from the integration of various -omics
• Design computing strategy in a High-Performance Computing (HPC) environment for algorithm development and optimization
• Compute infrastructure for processing NGS data (such as local vs. Amazon cloud, etc.).
• Interfacing and working with internal groups to design appropriate specifications.
• Contributes research findings to abstracts and publications and presents at conferences.
• Lead the development of novel software tools and pipelines to speed new molecular assay development
• Support the R&D team with the development of scripts to streamline calculations and project management.
• Lead the in silico design and characterization of new molecular assays for infectious disease based on qPCR and related technologies
• Propose new tools for development based on market trend analysis, new technology, and advances in molecular biology and genomics data analysis.

Skills: NGS Data Manipulation, Computational Modeling, High-Performance Computing, Compute Infrastructure, Collaboration, Communication, Software Development, Scripting

5 . Functions for Bioinformatics Scientist Cover Letter

• Generate and work with whole-genome sequence data sourced from a variety of sequencing platforms
• Provide leading-edge expertise and support in the area of bioinformatics and NGS data interpretation for the delivery of projects.
• Engage and interact confidently with a broad range of colleagues and stakeholders across the business.
• Seeking out information relevant to the work at hand and resolving issues and problems
• Lead the design, planning, and delivery of work to meet deadlines.
• Lead teams and work as part of a cross-functional team working with colleagues and stakeholders globally.
• Manage the data analytic systems for genomic analyses.
• Perform complex data analytics and oversee the team to deliver analytics activities.
• Ensure compliance with data and security protocols.
• Expand and upgrade capability to remain fit for purpose and cutting edge.
• Be part of key New Sciences and cross-R&D teams relating to big data and modeling.
• Interface with key external partners for the advancement of data science capabilities/methodologies.

Skills: Whole-Genome Sequencing, Bioinformatics, Communication, Problem-Solving, Project Management, Leadership, Data Management, Analytics

6 . Tasks for Bioinformatics Scientist Cover Letter

• Follow genetics/bioinformatics literature and attend appropriate conferences 
• Maintain awareness of desirable and state-of-the-art methods for processing bioinformatic data. 
• Guide other teams on important trends and opportunities.
• Develop and refine strategy for high-performance and scientist-centered data management tools
• Develop and maintain interfaces between the production backend computing environment and research computing environment
• Install, test, and deploy external tools to support bioinformatics tasks. 
• Design and implement in-house tools when third-party tools are insufficient.
• Learn existing code and processes for building datasets and performing analyses. 
• Become adept at running these, and help develop sanity checks for the results.

Skills: Research, Bioinformatics, Leadership, Strategic Planning, Technical Proficiency, Problem-solving, Adaptability, Collaboration

7 . Competencies for Bioinformatics Scientist Cover Letter

• Work on a cross-functional software development team to build and maintain production-quality Python packages
• Develop and maintain databases and data models that accelerate the ease of using the Onyx platform
• Identify, import, and curate coding and non-coding genome annotation databases
• Perform genome assembly and annotation and import these results into the databases
• Analyze mixed types of genomic data to gain useful insights about assemblies and annotation
• Developing tools and workflows for metagenome mining for genes and biological pathways of interest
• Establishing/maintaining pipelines for evaluation of microbial taxonomic and functional diversity in metagenome samples
• Executing genome and metagenome assembly, functional annotation, and characterization
• Interpreting outputs from computational tools and workflows for biological insights and relevance to the project at hand
• Contributing to product discovery ideation that leverages metagenomics

Skills: Python, Database Management, Genome Annotation, Genome Assembly, Genomic Data Analysis, Metagenome Mining, Pipeline Development, Biological Interpretation

8 . Capabilities for Bioinformatics Scientist Cover Letter

• Help build a platform that can elucidate oncogenic transcriptional networks and mechanisms of action for novel small molecule therapies
• Manage, integrate, analyze, and visualize multi-omics data and workflows to characterize chemical and genetic perturbations of tumors
• Develop, evaluate, implement, and perform algorithms and reproducible workflows for data analysis
• Work closely with the target validation team and contribute to the identification and validation of novel oncology targets leveraging public and proprietary datasets
• Empower Biology and Chemical Biology teams to develop, optimize and implement experimental and analytical strategies
• Communicate and visualize results clearly and succinctly in plots and dashboards
• Summarize and present scientific results with clear conclusions and recommendations
• Develop documentation of analyses conducted and/or analysis plans and specifications
• Support infrastructure and provide code base maintenance (documentation, testing, and version control)
• Maintaining expertise in state-of-the-art computational methods.
• Identify or validate target engagement, mechanism of action and biomarkers for sensitivity to novel anti-cancer therapies, leveraging and integrating public and proprietary datasets

Skills: Bioinformatics, Data Integration, Algorithm Development, Target Validation, Experimental Strategy, Data Visualization, Communication, Documentation

9 . Outcomes for Bioinformatics Scientist Cover Letter

• Drive research efforts to build advanced models for next-generation algorithms and products
• Collaborate with assay development scientists on the design and development of novel assays and sustaining and troubleshooting of existing products
• Design and execute analysis plans to generate insights from large volumes of experimental data for improving assays and bioinformatics pipelines
• Develop tools and automated analysis pipelines for diagnostic tests
• Provide written documentation and specifications
• Collaborate with statisticians, other bioinformatics scientists, LIMS engineers, CLIA lab scientists
• Develop and optimize NGS-based software including variant calling, gene expression, epigenetic analyses, single-cell sequencing
• Integrate diverse NGS and non-NGS data sets to identify cancer drivers, predictive biomarkers, and mechanistic hypotheses
• Apply statistical fundamentals to biological datasets
• Design and implement novel computational approaches
• Develop applications using Python, R, C/C++, and other programming languages

Skills: Algorithm Development, Assay Development, Troubleshooting, Data Analysis, Tool Development, Documentation, Specification Writing, Collaboration

10 . Key Performance Indicators (KPIs) for Bioinformatics Scientist Cover Letter

• Performs data-driven DNA/RNA modeling tasks
• Runs and analyses sequence simulations
• Performs scientific research on RNA sequence optimization
• Uses and develops new technologies in designing and improving the platform technology for sequence optimization for stability and expression
• Creatively creates new constructs based on available knowledge and uses results of experiments to further improve platform algorithms
• Supports the production team with the high throughput cloning platform
• Supports the QC team with high-throughput analytics
• Provides support to the product and platform project teams
• Links up with academic and/or other technology partners for platform development and improvement
• Present results to scientific teams and/or management

Skills: DNA/RNA Modeling, Sequence Simulation Analysis, Research, Technology Development, Construct Design, Throughput Cloning, Throughput Analytics, Collaboration

11 . Criteria for Bioinformatics Scientist Cover Letter

• Understand regulatory submission documentation and relay relevant information to the Regulatory team.
• Understand and defend analytical experiments.
• Understand statistical methods and procedures used in clinical assay validations.
• Interface with the bioinformatics team to support the Regulatory team and the regulatory agency inquiries.
• Analyze and author laboratory NGS assay validation results.
• Sustain and Support production laboratory testing, including Quality Control results, patient results and reports. 
• Work with colleagues in research and development to design, build and deploy state-of-the-art scientific algorithms and software tools
• Closely work with colleagues to identify, design, and implement process improvements (automating manual processes, optimizing data delivery, re-design infrastructure)
• Assemble and integrate large, complex data sets to extract actionable information, and to develop disease hypotheses for subsequent validation.
• Advocate scientific ideas and actions, and execute strategies to support and advance R&D initiatives.

Skills: Regulatory Compliance, Analytical Experimentation, Statistics, Bioinformatics, NGS Assay, Laboratory Support, Algorithm Development, Process Improvement

12 . Standards for Bioinformatics Scientist Cover Letter

• Develop and apply state-of-the-art bioinformatics tools, integrating machine learning, parallel computing and data
• Translate bioinformatic discoveries and designs into clinically relevant and actionable information
• Initiate and manage projects, collect and curate data for method development
• Working with clinical and pre-clinical teams to test and improve AI platforms
• Participate in designing studies to generate data for building new bioinformatic AI systems
• Contribute to agile development and documentation of the developed code and tools
• Contribute to the analysis of clinical trial findings
• Design and develop pipelines to address novel analytical challenges and to automate established analysis
• Work closely with regulatory, assay, and biostats team on IVD study design, execution, and report writing
• Responsible for supporting and troubleshooting on-market products

Skills: Bioinformatics Tool, Clinical Translation, Project Management, Collaboration, Teamwork, Study Design, Agile Development, Documentation

13 . Performance Expectations for Bioinformatics Scientist Cover Letter

• Use SQL and other scripting languages to retrieve relevant data from various bioinformatics databases.
• Use Python to perform lab concordance analysis using relevant data
• Use Python and/or R to perform statistical analyses on large data sets
• Collaborate with team members, Tempus scientists and clinicians, and team management
• Assist in designing and performing the analyses on cancer clinical sequencing data
• Communicate findings clearly and logically to help stakeholders make scientific decisions based on data
• Produce high-quality and detailed documentation for all projects
• Develop algorithms for the analysis of vast amounts of NGS data spanning different data types and platforms for translational research and clinical applications.
• Apply best practice statistical/computational methods to analyze large-scale somatic biological data

Skills: SQL, Python, R, Team Collaboration, Analytics, Communication, Documentation, Algorithm Development

14 . Expertise Areas for Bioinformatics Scientist Cover Letter

• Working with short and long-read technologies to develop novel variant calling methods for challenging variant types
• Analyzing population-scale sequencing data to benchmark and improve variant callers
• Statistical and population genetics analysis of large datasets
• Applying algorithms and computing strategy to make large-scale data analysis feasible and support translation into products.
• Communicate research findings internally and externally through presentations and manuscripts
• Collaborate with assay, clinical and computational scientists at Illumina and external academic laboratories to deliver complete products
• Build and manage a group of PhD-level data scientists
• Evaluate existing bioinformatics approaches and develop novel methods to push the state-of-the-art
• Document the methods and analyses to allow reproducible research
• Present and communicate findings in cross-functional teams
• Provide feedback and suggest research directions based on analyses performed

Skills: Bioinformatics, Data Analysis, Algorithm Development, Communication, Collaboration, Leadership, Innovation, Documentation

15 . Primary Focus for Bioinformatics Scientist Cover Letter

• Develop new bioinformatic approaches, preclinical and clinical data processing and review.
• Validate and update the computational methods in internal analysis pipelines.
• Integrate and automate the analyses on the cloud.
• Drive the execution and delivery of data and analysis by collaborating with wet lab scientists and quality teams.
• Prioritize and complete multiple parallel projects.
• Design and implement data preprocessing pipelines for novel wet-lab technologies
• Develop new methodologies and software tools to analyze single-cell omics data
• Design and implement an analytical framework to integrate multiple types of omics data
• Improve existing software tools to better fit the research goals and requirements
• Deploy automated pipelines in the interactive cloud environment with a graphical user interface to facilitate user accessibility
• Publish codebase or software as part of high-impact publications or releases

Skills: Bioinformatics, Computational Method, Cloud Computing, Collaboration, Communication, Project Management, Pipeline Development, Algorithm Development

What Are the Qualifications and Requirements for Bioinformatics Scientist in a Cover Letter?

1 . knowledge and abilities for bioinformatics scientist cover letter.

• Working experience in bioinformatics, computational biology, statistics, or related fields.
• Experience analyzing bulk and single-cell RNA-Seq, ATAC-seq, flow and CyTOF phenotyping, serum proteome, SNP genotyping, and microbiome profiling.
• Practical knowledge of computerized data analysis, database management, and computer programming sufficient for the analysis of genomics datasets
• Experience with the operation and maintenance of computers with Linux or Microsoft operating systems.
• Programming experience in environments such as Linux, Bioconductor R, Perl and/or Python.
• Have attention to detail with excellent organizational skills
• Troubleshooting abilities, and strong written and oral communication skills.
• Proficiency in C/C++ and/or Java as well as experience with multiple OS platforms
• Experience with database design and construction, and dynamical system theory and modeling
• Computer programming skills with proficiency in R and at least one scripting language (Perl/Python/Ruby).

Qualifications: BS in Bioinformatics with 6 years of experience

2 . Experience and Requirements for Bioinformatics Scientist Cover Letter

• Experience in Molecular Biology, Bioinformatics, Microbiology, or relevant life sciences field
• Proficiency in scripting in Python, Unix/Bash, Perl, or R
• Proficiency in working with large NGS datasets and solid foundation in UNIX command-line
• Proficiency in the analysis of large-scale metagenomics and/or microbiome datasets
• The ability and initiative to learn and build new pipelines/tools
• Familiarity with open-source bioinformatics tools, algorithms, and relevant literature for genome mining for natural product biosynthesis
• Good understanding of molecular biology/microbiology concepts and next-generation sequencing technologies
• Ability to derive relevant biological insights/conclusions from the outputs of bioinformatics analysis.
• Be systematic, and creative problem-solving approach to projects
• Excellent communicator who can clearly explain complex concepts to non-experts, and can grasp new concepts quickly, asking clarifying questions
• Ability to closely collaborate with molecular/chemical biologists and microbiologists

Qualifications: BS in Computer Science with 5 years of experience

3 . Skills, Knowledge, and Experience for Bioinformatics Scientist Cover Letter

• Familiarity with a scripting language (e.g. R, python) and Linux programming.
• Independent problem-solving skills with the ability to quickly learn new things.
• A basic understanding of the fundamental concepts and the intuition behind NGS analysis techniques
• Some familiarity with machine learning and statistical modeling
• Familiarity with Nextflow, Docker, and AWS
• Team player with initiative, professionalism, and good interpersonal/communication skills.
• Excellent written and oral communication skills.
• Demonstrate a high degree of professionalism, enthusiasm, and initiative daily.
• The ability to work in a fast-paced environment with attention to detail is critical to the success of this position.
• Be a self-starter and work on projects with minimum supervision.
• Familiarity with the literature and ability to write publications.

Qualifications: BS in Biological Sciences with 8 years of experience

4 . Requirements and Experience for Bioinformatics Scientist Cover Letter

• Experience in Bioinformatics, Computer Sciences, or Computational Biology
• Experience working with genomic data in a computational role.
• A deep understanding of commonly used databases and bioinformatics tools (e.g. Samtools, Bedtools, IGV, ANNOVAR, GATK) and file formats (e.g. BED, VCF, FASTQ, BAM)
• Expert knowledge of Linux operating systems and a programming language such as Python, Java, or C++
• Experience with Django, SQL, R, HTML/SCC, Javascript, and XML
• Knowledge of applying data science and machine learning methods on molecular data for biomarker discovery.
• Working knowledge of software development and web application development.
• Working knowledge of cancer genomics and disease biology.
• Working knowledge of sequencing technology and next-generation sequencing hardware and software
• Next-generation sequencing data analysis experience.

Qualifications: BS in Computational Biology with 5 years of experience

5 . Education and Experience for Bioinformatics Scientist Cover Letter

• Experience in bioinformatics/biostatistics/computational biology applied to immunology
• Demonstrated track record of delivering cutting-edge research in bioinformatics & computational systems immunology
• Deep experience with some or all of the following single-cell technologies (FACS, CyTOF, single-cell RNA-seq, single-cell epigenomics)
• Good understanding of immunology and disease transitions
• Proven track record of setting and meeting goals/milestones/deliverables across multiple projects
• Good oral and written communication skills in presenting analysis of complex data types
• Deep expertise in R and/or Python, Git, Unix shell scripting, and batch processing
• Proven ability to work and think across disciplines
• Strong teamwork and communication skills (both verbal and written)
• The ability to coordinate collaborations with the Institute’s Experimental Immunology and Molecular Biology teams and with research partners

Qualifications: BA in Statistics with 4 years of experience

6 . Professional Background for Bioinformatics Scientist Cover Letter

• Familiarity with NGS data formats and tools
• Ability to develop analyses, models, and reproducible reports with Python or R
• Experience developing or validating tests or devices in a collaborative or regulated environment
• Experience troubleshooting, maintaining, or launching a medical product
• Experience analyzing, troubleshooting, and visualizing wet lab experiments
• Experience in sequence data analysis and open-source bioinformatics tools
• Good skills in Python, R, and shell scripting with an understanding of applied statistics
• Familiarity with the genomics of human disease
• Ability to work effectively as part of a team
• Excellent written and verbal communication skills
• Excellent problem-solving skills and ability to learn quickly on the job

Qualifications: BS in Genetics with 7 years of experience

7 . Education and Qualifications for Bioinformatics Scientist Cover Letter

• Experience in Bioinformatics, Biomedical Informatics, Computational Biology, Genomics, or a related discipline. 
• Excellent computational and analytical skills with attention to detail
• Deep understanding of a chosen research field such as cell biology, genomics, cancer biology or clinical oncology.
• Experience working on interdisciplinary teams that include scientists, programmers, and clinicians.
• Proficiency in programming languages including Python, R, and SQL
• Familiarity with Linux environments and exposure to cloud infrastructures such as AWS.
• Interest in data science and machine learning approaches to solving complex problems.
• Experience in developing and documenting high-quality code using version control tools (especially Git) and software issue tracking/management systems (especially Jira)
• Hands-on experience with NGS tools such as Samtools, BWA, GATK, and others.
• Highly motivated, great ability to work independently or as part of a team.

Qualifications: BS in Molecular Biology with 8 years of experience

8 . Knowledge, Skills and Abilities for Bioinformatics Scientist Cover Letter

• Experience in Bioinformatics, Computational Biology, Computer Science, or Biology
• Working experience related to bioinformatics work in a clinical laboratory 
• Experience in academia, biotechnology, or other healthcare field (involving next-generation sequence data analysis)
• Experience in NGS analysis and methods as well as the computing infrastructure and data management methods to support NGS
• First-hand multi-parametric data mining experience on expression, copy number and profiling datasets for target identification and biomarker discovery. 
• Experience in integrating publicly or commercially available genetic, genomic, and interaction datasets with novel experimental data
• Proven success in independent effort and delivering high-quality data with biological relevance in a team environment
• Experience in computational discovery and characterization of natural products
• Familiarity with AWS, Docker, and HPC
• Understanding of Phylogenetic and taxonomic analysis, sequence/structure/function analysis

Qualifications: BS in Biotechnology with 7 years of experience

9 . Accomplishments for Bioinformatics Scientist Cover Letter

• Knowledge of statistical/human genetics or bioinformatics/computational biology.
• Experience in computational or statistical sciences or bioinformatics 
• A strong emphasis on computational methods for high-throughput genomic and genetic data analysis
• Experience in managing, processing, analyzing, and interpreting data generated from one or more next-generation sequencing technologies
• Expertise with publicly and commercially available bioinformatics tools for next-generation sequencing analysis and genetics and genomics databases.
• Programming experience in the use of a high-level programming language such as Perl, Python, and R. 
• Familiarity with working in Linux and high-performance cluster computing environments.
• Knowledge of molecular biology and experience in biological interpretation of human genetic data
• Strong communication and interpersonal skills with the ability to present and explain findings to a diverse audience.
• Good publication record in top-tier peer-reviewed journals.
• Highly motivated and able to work both independently and collaboratively, and handle several concurrent, fast-paced projects.

Qualifications: BS in Chemistry with 5 years of experience

10 . Key Qualifications for Bioinformatics Scientist Cover Letter

• Expert-level knowledge of advanced sequencing, array-based technologies, and proteomics technologies
• Professional  proficiency in NGS data analysis and Microsoft Office
• Strong statistics, machine learning, and data mining skills
• Strong programming skills including Perl, Python, or R
• Knowledge in drug development, screening, target discovery and biomarker identification
• The ability to work independently as well as in a team environment
• Be responsible and have strong time management skills
• Able to analyze and resolve issues of moderate complexity
• Possess strong attention to detail and organizational skills
• Demonstrate professional communication and interpersonal skills

Qualifications: BS in Data Science with 9 years of experience

11 . Abilities and Experience for Bioinformatics Scientist Cover Letter

• High proficiency in scripting languages, such as Python, Perl, or R
• Prior experience with protein visualization software (e.g PyMoL or Chimera)
• Prior experience working in protein purification
• Prior experience with protein binding assays, such as ELISA and bio-layer interferometry
• Prior experience with viral antigen or antibody research
• Experience in computer science, bioinformatics, computational biology, mathematics, or related fields
• Exceptional development skills, especially in the implementation of novel algorithms
• Strong background in statistics and numerical analysis with Biology knowledge
• Excellent programming skills C, C++ and/or C# .NET 
• Excellent  scripting languages such as Python or MATLAB
• Strong communication and presentation skills

Qualifications: BA in Applied Mathematics with 5 years of experience

12 . Education, Knowledge and Experience for Bioinformatics Scientist Cover Letter

• Experience in bioinformatics, biostatistics, biomedical engineering, computer science and other related fields
• Solid understanding of principles and analytical methodologies in computational biology and bioinformatics.
• Hands-on experience with state-of-the-art bioinformatics tools, including NGS and proteomic pipelines
• Proven ability for developing and maintaining bioinformatics pipelines.
• Experience in developing database and data-driven applications.
• Programming skills with Perl, Python, shell scripting and/or Java.
• Skills in statistical analysis and proficiency with statistical packages such as R and SAS.
• The ability to understand laboratory and clinical data.
• Familiarity with clinical trial design and clinical data analysis is highly desirable.
• Proficient verbal and written communication skills, and organizational skills
• Willingness to share and receive information and ideas from all levels of the organization to achieve the desired results.

Qualifications: BS in Systems Biology with 6 years of experience

13 . Skills Overview for Bioinformatics Scientist Cover Letter

• Experience working with Next Generation Sequencing (NGS) and a broad range of bioinformatics software and algorithms
• Expertise working with large-scale genomic data (e.g., RNA-seq, exomeSeq, ctDNAseq, TCRseq, single cell assays, microarrays, flow cytometry, ATACseq, CHIPseq, etc.).
• Familiarity with multiple DNA sequencing platforms (e.g., Illumina, Ion/Proton, PacBio, Oxford Nanopore, etc.)
• Familiarity with tools for the analysis and visualization of high dimensional flow cytometry and proteomics data.
• Proven coding expertise in languages such as R or Python for bioinformatics for analyses, applications, and shiny tools
• Strong skills in machine learning, classification, statistical modeling, etc. 
• Prior experience in Amazon Web Services (AWS or similar cloud computing environments) 
• Ideally experienced in the applications of immunology and/or immuno-oncology
• Strong track record of peer-reviewed publications
• Excellent presentation skills, writing skills, and effective day-to-day project team communications.
• Ability to manage multiple priorities, supervise technical staff, and work collaboratively with colleagues to achieve goals
• Strong skills in the organization, processing, analysis, and reporting of data, resourcefulness in overcoming challenges
• The ability to thrive in a collaborative and fast-paced team environment

Qualifications: BS in Neuroscience with 8 years of experience

14 . Abilities and Qualifications for Bioinformatics Scientist Cover Letter

• Demonstrated knowledge of large-scale genome analytics (host and pathogen) and data structures.
• Undersanding of NGS tools like bwa, Samtools, VCF tools, Picard, GATK, Freebayes, ANNOVAR, VEP.
• Basic knowledge in biostatistics, molecular biology, and/or computer sciences.
• Knowledge in analyzing next-generation sequencing data. 
• Experience with pathogen genomics, single-cell genomics data like single-cell RNA-seq, single-cell ATAC-seq, or single-cell DNA methylation data
• Demonstrated knowledge in statistics and programming languages such as Python, Perl, and R.
• Knowledge of network and cloud-based Unix/Linux environments to enable the development of production-ready remote computational pipelines.
• Experience in a computational-focused early-stage company or at a pharmaceutical company
• Strong experience with pipeline development, bioinformatics tools, and data management
• Experience using general-purpose programming languages (C++, Java, Go, R, Python)
• Experience with cloud-based storage and service tools (Google, AWS, etc)
• Experience working with epigenetic and transcriptomic data
• Demonstrated industry experience and academic achievement

Qualifications: BA in Computer Information Systems with 6 years of experience

15 . Training and Certifications for Bioinformatics Scientist Cover Letter

• Working experience in bioinformatics, computational biology, data science, or relevant fields.
• Track record of working with mammalian genomics and genome-scale data analysis.
• Proficient with bioinformatics tools and pipelines, especially NGS data processing.
• Familiarity with cloud services (AWS) and databases (SQL) for genomics data processing.
• Skilled in programming languages such as Python or R.
• Experience using machine learning methods and statistical models.
• Strong communication skills with the proven ability to relay information effectively and efficiently
• Experience working collaboratively with teams on project work.
• Ability to document work appropriately to ensure work is repeatable and understood across teams.

Qualifications: BS in Physics with 5 years of experience

Biomedical Scientist Cover Letter Guide With Examples

Land your dream job as a Biomedical Scientist with our expert cover letter tips, engaging samples, and key dos & don'ts in our concise guide!

Shaoni Gupta

Read more posts by this author.

As a Biomedical Scientist, your cover letter is the key to unlocking opportunities and showcasing your potential to the recruiters.

It serves as a bridge between your qualifications and the employer's needs. This makes your cover letter a vital component of your job application.

Therefore, this article will provide essential insights on composing a cover letter highlighting your skills and making you stand out as the perfect example of your experience.

Let us craft a cover letter that sets you on the path to success in your biomedical science career.

Biomedical Scientist Cover Letter Sample (With Experience)

[Jane Doe] [123, Home Street] [Los Angelas , California , 123 456 ] [[email protected]] [ (123)-123-123] [30.2.2023]

[Recipient's Name] [ABC Institution/Company's] [123 Company Street] [Los Angelas , California , 123 456 ]

Dear [Recipient's Name],

I am writing to express my keen interest in the Biomedical Scientist position at [Research Institution/Company's Name] as listed on [job posting source]. With a Master's in Biomedical Science and [X years] of hands-on experience in [ e.g., "molecular biology techniques and genomics"], I am confident in my ability to contribute effectively to your esteemed team.

During my tenure at [Previous Institution/Company], I was actively involved in [specific project or research]. This work honed my laboratory skills and fortified my analytical and problem-solving abilities.

Some of my notable achievements include:

Publication of [X number of] research papers in reputed international journals, focusing on [specific topic, e.g., "gene expression patterns in rare diseases"].

Introduction of an improved [specific technique, e.g., "protein purification protocol"] which enhanced the efficiency by [specific percentage, e.g., "20%"].

Collaboration with cross-functional teams, leading to [specific outcome, e.g., "the development of a potential therapeutic agent for neurodegenerative disorders"].

I am particularly drawn to [Research Institution/Company's Name] due to its groundbreaking work in [give an example of a specific area]. Your commitment to innovative research and development aligns with my professional aspirations and expertise.

Please find enclosed my resume, which describes my academic and professional journey. I would be honored to discuss in detail how my experience and vision align with the goals of [Research Institution/Company's Name]. Thank you for considering my application.

Biomedical Scientist cover letter sample (Without Experience)

[John Doe] [123, Home Street] [Los Angelas , California , 123 456 ] [[email protected]] [ (123)-123-123] [30.2.2023]

[Recipient's Name] [ABC Institution/Company's ] [123 Company Street] [Los Angelas , California , 123 456 ]

I am writing to express my strong interest in the Biomedical Scientist position at [Hospital or Laboratory Name], as advertised on [Job posting source]. As a recent graduate with a Bachelor's/Master's in Biomedical Science from [Your University Name], I am excited to begin my career in biomedical research and contribute my knowledge, dedication, and passion to your dynamic team.

While I do not possess direct professional experience in a laboratory setting, my academic background has equipped me with a strong foundation in essential laboratory techniques, data analysis, and scientific methodologies.

During my coursework, I had the opportunity to work on numerous research projects, including my thesis on [Briefly describe your thesis topic or any significant projects you've worked on].

My academic journey has also provided me with a comprehensive understanding [format it as per your skills and knowledge]:

• molecular biology
• microbiology
• clinical chemistry

I have developed proficiency in utilizing various laboratory instruments and software, including [Mention any specific equipment or software you are familiar with]. I am confident in my ability to quickly adapt to the tools and technologies specific to [Hospital or Laboratory Name].

I am highly committed to maintaining the highest standards of quality and safety in the laboratory, and I understand the importance of adherence to protocols and procedures.

Thank you for considering my application. I have attached my resume, which details my educational background and relevant coursework. I look forward to hearing from you to discuss the possibility of working with your institution.

How Do You Write a Biomedical Scientist Cover Letter?

1. Research and analyze the job description Ensure that your skills and values align with those of the hospital or laboratory. Then, tailor your cover letter to match their needs.

2. Use relevant keywords You can increase your chances of passing through the applicant tracking systems by using relevant keywords highlighting your hard skills, e.g., "test analysis," "data management," etc.

3. Use statistics to highlight your achievements Provide quantifiable data and statistics to showcase your achievements and skills.

4. Attach your resume Ensure that your resume is attached along with your cover letter.

5. Give references Add references to your cover letter for your work ethic and performance. These references can be from your past employers, academic instructors, etc.

What to include in a biomedical scientist cover letter?

Paint a vivid picture of your passion for biomedical science. Show your recruiters why you would be the perfect fit for their institution. Listed below are key components that will help your cover letter stand out

1. Mention your hard skills and soft skills

Convince the employers that you would be the ideal candidate for the position of biomedical scientist by highlighting your hard and soft skills. A few examples of hard skills and soft skills have been mentioned below

Hard Skills -Laboratory Techniques -Instrumentation -Data Analysis -Sample Handling -Research and Observation

Soft Skills -Attention to details -Analytical thinking -Problem-Solving -Ethical Conduct -Leadership

2. Provide relevant contact details

Ensure the contact details you provided in your cover letter are all correct and up to date.

3. Mistakes to avoid

Lack of clarity: Ensure your cover letter is clear and concise. Avoid overly complex language that might confuse non-specialists who review your application.

Exaggeration and false claims: Making false claims and exaggerating your qualifications and experiences can have serious consequences if discovered.

Generic cover letters: Generic cover letters that don't address the specific job or organization show indifference. Tailor each cover letter to the particular position and company you're applying to.

Ignoring application instructions: Carefully follow any specific application instructions the employer provides. This includes submission format and document naming conventions.

Here's a collection of cover letters for different jobs that you can explore:

Learn how to end a cover letter

Cover Letter for English Teacher

Cover Letter for a position in Chick-fil-A

Cover Letter for Sports Managers

Cover Letter for internship at UN

Cover Letter for Graphic Designers

Key Takeaways

A well-crafted cover letter is essential for showcasing your potential as a Biomedical Scientist.

Your cover letter should demonstrate your enthusiasm and knowledge of the organization. It should showcase a clear alignment between your skills and the job requirements to make a strong impression on prospective employers.

Use relevant keywords in your cover letter to increase your chances of passing through applicant tracking systems.

Ensure your cover letter highlights hard skills (e.g., laboratory techniques and data analysis) and soft skills (e.g., attention to detail, problem-solving, and leadership) relevant to the Biomedical Scientist role.

Verify that your contact details in the cover letter are accurate and up to date.

Craft your cover letter to match the specific job and organization you're applying to. Ensure it aligns with their requirements and values.

This article has been written by Shaoni Gupta. She works as a content writer at Vantage Lens . Her areas of interest range from art to astronomy. When she's not writing, she is daydreaming about stepping into the worlds of high fantasy novels.

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Bioinformatics CV example

Build your CV on this template 

Are you looking for your next opportunity in bioinformatics?

Then you need a strong CV that showcases your relevant qualifications and experience in the field.

In this guide, we’ll teach you how to create an impressive application that showcases your top achievements. You can also check out our bioinformatics CV example for more support.

Article contents

Bioinformatics CV example

CV templates 

Unsure of what your Bioinformatics CV should look like?

Have a look at the CV example above to get familiar with the structure, layout and format of a professional CV.

As you can see, it provides plenty of relevant information about the applicant but is still very easy to read, and brief – which will please busy recruiters and hiring managers.

Build your CV now 

Bioinformatics CV format and structure

In today’s fast-paced job market, recruiters and employers are often short on time. If they can’t locate the information they’re searching for within a few seconds, it could result in them overlooking your application.

To avoid this happening, it’s critical to structure and format your CV in a way that allows them to quickly identify your key skills and offerings, even when they’re pressed for time.

Tips for formatting your Bioinformatics CV

• Length: Your CV should always be limited to two sides of A4, regardless of whether you have a year or three decades of experience. With recruiters juggling multiple responsibilities, they don’t have time to sift through lengthy applications.
• Readability : By formatting your section headings with bold or a different colour font and using bullet points to break up large blocks of text, you can help busy recruiters quickly scan through your CV. This makes it easier for them to find important details without wasting time.
• Design & format: Your CV needs to look professional, sleek and easy to read. A subtle colour palette, clear font and simple design are generally best for this, as fancy designs are often harder to navigate.
• Photos: You can add a profile photo to your CV, if you want to add some personality to it, but they are not a requirement the UK, so you don’t have to.

Quick tip: Creating a professional CV style can be difficult and time-consuming when using Microsoft Word or Google Docs. To create a winning CV quickly, try our quick-and-easy CV Builder and use one of their eye-catching professional CV templates.

CV structure

When writing your own CV , break up your CV content into the following key sections:

• Name and contact details – Place them at the top of your CV, so that employers can easily get in touch.
• CV profile – A punchy sales pitch of your key experience, skills and achievements to reel readers in.
• Core skills section – A bullet-pointed snapshot of your abilities.
• Work experience – A well-structured list of your relevant work experience.
• Education – An overview of any relevant qualifications or professional training you have.
• Hobbies and interests – A short description of any relevant hobbies or interests (optional).

Now you understand the basic layout of a CV, here’s what you should include in each section of yours.

Contact Details

Begin by sharing your contact details, so it’s easy for employers to give you a call. Keep to the basics, such as:

• Mobile number
• Email address – It should sound professional, with no slang or nicknames. Make a new one for your job applications if necessary.
• Location – Simply share your vague location, for example ‘Manchester’, rather than a full address.
• LinkedIn profile or portfolio URL – Remember to update them before you send your application.

Bioinformatics CV Profile

Your CV profile is the first thing recruiters will read – so your goal is to give them a reason to read onto the end of the document!

Create a short and snappy paragraph that showcases your key skills, relevant experience and impressive accomplishments.

Ultimately, it should prove to the reader that you’ve got what it takes to carry out the job.

How to write a good CV profile:

• Make it short and sharp: Recruiters are busy, so to ensure your profile is actually read, it’s best to keep it short and snappy. 3-5 punchy lines makes for the perfect profile.
• Tailor it: If recruiters don’t see your suitability within a few seconds, they may close your CV straight away. Your CV profile should closely match the essential requirements listed in the job ad, so make sure to review them before you write it.
• Don’t add an objective: If you want to discuss your career objectives, save them for your cover letter , rather than wasting valuable CV profile space.
• Avoid generic phrases: Clichés like “ blue-sky thinker with a go-getter attitude” might sound impressive to you, but they don’t actually tell the recruiter much about you. Concentrate on highlighting hard facts and skills, as recruiters are more likely to take these on board.

Example CV profile for a Bioinformatics Scientist

What to include in your bioinformatics cv profile.

• Experience overview: Start with a brief summary of your relevant experience so far. How many years experience do you have? What type of companies have you worked for? What industries/sectors have you worked in? What are your specialisms?
• Targeted skills: Ensure that your profile highlights your key skills that are most relevant to Bioinformatics, and tailor them to match the specific job you are applying for. To do this, refer to the job description to closely align your skills with their requirements.
• Important qualifications: If the jobs you are applying to require candidates to have certain qualifications, then you must add them in your profile to ensure they are seen by hiring managers.

Quick tip: If you are finding it difficult to write an attention-grabbing CV profile, choose from hundreds of pre-written profiles across all industries, and add one to your CV with one click in our quick-and-easy CV Builder . All profiles are written by recruitment experts and easily tailored to suit your unique skillset.

Core skills section

Underneath your profile, write a core skills section to make your most relevant skills jump off the page at readers.

It should be made up of 2-3 columns of bullet points of your relevant skills.

Before you do this, look over the job description and make a list of any specific skills, specialisms or knowledge required.

Then, make sure to use your findings in your list. This will paint you as the perfect match for the role.

Important skills for your Bioinformatics CV

Data Analysis – Analysing and interpreting large biological datasets using statistical methods and bioinformatics tools.

Programming – Utilising programming languages such as Python, R, or Perl, to develop algorithms and scripts for data manipulation and analysis.

Genomics – Utilising knowledge of genomics data analysis, including genome assembly, variant calling, and functional annotation.

Transcriptomics – Utilising transcriptomics data analysis techniques, such as RNA-seq and differential gene expression analysis.

Proteomics – Analysing proteomics data, including protein identification, quantification, and protein-protein interaction analysis.

Data Visualisation – Visually representing complex biological data using tools such as R, matplotlib, or Tableau for effective communication.

Machine Learning – Utilising machine learning algorithms and applications such as classification, clustering, and prediction.

Database Management – Managing and querying biological databases, such as NCBI, Ensembl, or UniProt, for data retrieval and integration.

Algorithm Development – Developing novel algorithms and computational approaches to solve bioinformatics problems and optimise data analysis workflows.

Research Collaboration – Collaborating with researchers from different disciplines and contributing to multidisciplinary projects.

Quick tip: Our quick-and-easy CV Builder has thousands of in-demand skills for all industries and professions, that can be added to your CV in seconds – This will save you time and ensure you get noticed by recruiters.

Work experience

By now, you’ll have hooked the reader’s attention and need to show them how you apply your skills and knowledge in the workplace, to benefit your employers.

So, starting with your most recent role and working backwards to your older roles, create a thorough summary of your career history to date.

If you’ve held several roles and are struggling for space, cut down the descriptions for your oldest jobs.

Structuring each job

Recruiters will be keen to gain a better idea of where you’ve worked and how you apply your skill-set in the workplace.

However, if they’re faced with huge, hard-to-read paragraphs, they may just gloss over it and move onto the next application.

To avoid this, use the simple 3-step role structure, as shown below:

Firstly, give the reader some context by creating a punchy summary of the job as a whole.

You should mention what the purpose or goal of your role was, what team you were part of and who you reported to.

Key responsibilities

Use bullet points to detail the key responsibilities of your role, highlighting hard skills, software and knowledge wherever you can.

Keep them short and sharp to make them easily digestible by readers.

Key achievements

Finish off by showcasing 1-3 key achievements made within the role.

This could be anything that had a positive effect on your company, clients or customers, such as saving time or money, receiving exemplary feedback or receiving an award.

Sample job description for your Bioinformatics CV

Apply computer science to solve problems in biology, design new software/hardware, and model the human genome, for one of the foremost universities with a mission to contribute to society through education, learning, and research at the highest level.

Key Responsibilities

• Use Python scripts to automate work, streamline processes, and save time, and complete projects faster.
• Consult with researchers to analyse problems, recommend technology-based solutions, and determine innovative computational strategies.
• Mentor and instruct team members in selecting and using BLAST, BioPerl, FASTA Format, UGENE, geWorkbench, SAMtools, Clustal, and EMBOSS tools.
• Manipulate publicly accessible, commercial, and proprietary genomic, proteomic, and post-genomic databases to facilitate research and comparative studies.

Quick tip: Create impressive job descriptions easily in our quick-and-easy CV Builder by adding pre-written job phrases for every industry and career stage.

Education section

At the bottom of your CV is your full education section. You can list your formal academic qualifications, such as:

• GCSE’s

As well as any specific Bioinformatics qualifications that are essential to the jobs you are applying for. Note down the name of the qualification, the organisation at which you studied, and the date of completion.

Hobbies and interests

The hobbies and interests CV section isn’t mandatory, so don’t worry if you’re out of room by this point.

However, if you have an interesting hobby , or an interest that could make you seem more suitable for the role, then certainly think about adding.

Be careful what you include though… Only consider hobbies that exhibit skills that are required for roles in Bioinformatics, or transferable workplace skills.

There is never any need to tell employers that you like to watch TV and eat out.

When putting together your Bioinformatics CV, there are a few key points to remember

Always tailor your CV to the target role, even if it means creating several versions for different roles.

Additionally, remember that the structure and format of your CV needs just as much attention as the content.

Good luck with your job search!

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After copyediting and review of the final proof, papers are published in the open issue .

Please contact the Editorial Office at [email protected] with any submission queries in the first instance.

Bioinformatics allows initial submission of manuscripts to be format-free , however accepted manuscripts will need to be formatted during revision. In order to format your paper after acceptance, please follow these instructions carefully to ensure the publication process is efficient and as rapid as possible.

Here are instructions on submitting your manuscript online . Additionally, here are the Word and LaTex * templates we recommend using. [*If you use bibtex, please use the bibliography style named natbib.bst]. Further information on inserting figures into the templates .

Once you have prepared your manuscript please visit the online submission website .

By submitting an article for publication you confirm that you are the corresponding/submitting author and that Oxford University Press ("OUP") may retain your email address for the purpose of communicating with you about the article. You agree to notify OUP immediately if your details change. If your article is accepted for publication OUP will contact you using the email address you have used in the registration process.

Please note that the journal now encourages authors to complete their copyright and licence to publish form online. Upon acceptance of a manuscript at Oxford Journals, authors will be invited to complete an online copyright licence to publish form.

Bioinformatics provides a forum for the exchange of information in the fields of computational molecular biology and genome bioinformatics, with emphasis on new algorithms and databases that advance the progress of bioinformatics and biomedical research in a significant manner.

Upon submission you will be asked to select one of the following categories for your manuscript:

Genome analysis

Sequence analysis, phylogenetics.

• Structural bioinformatics
• Gene expression
• Genetic and population analysis
• Systems biology
• Data and text mining
• Databases and ontologies
• Bioimage informatics

The following types of paper may be submitted for publication. Please note the page limits for each type of paper formatted in the journal template, as well as the word and figure limitations for papers submitted Format-Free.

Original Papers

(Up to 7 pages; this is approx. 5,000 words. excluding figures)

Original papers that describe new research developments in computational molecular biology, for example: models, algorithms, software involving new methods, biological databases and network information services, and their impact on molecular biology or computer science. Actual biological data must be used and, in appropriate cases, can be complemented with simulated data. Only in extremely well-justified cases can simulated data alone be used instead of real data.

Application Notes

(Up to 4 pages; this is approx. 2,600 words or 2,000 words plus one figure)

Applications Notes are short descriptions of novel software or new algorithm implementations, databases and network services (web servers, and interfaces). Software or data must be freely available to non-commercial users. Availability and Implementation must be clearly stated in the article. Authors must also ensure that the software is available for a full two years following publication. Web services must not require mandatory registration by the user. Additional supplementary data can be published online-only by the journal. This supplementary material should be referred to in the abstract of the Application Note. If describing software, the software should run under nearly all conditions on a wide range of machines. Web servers should not be browser specific. Application Notes must not describe trivial utilities, nor involve significant investment of time for the user to install. The name of the application should be included in the title.

(3-8 pages; this is approx.3000-6000 words excluding figures)

Most review papers are commissioned, although the editors welcome suggestions from prospective authors who should in the first instance submit a draft or abstract/summary no longer than a page.

Letters to the Editor

Bioinformatics publishes Letters to the Editor on a broad range of topics covered by the journal, including political, technical and scientific analyses of issues related to bioinformatics and computational biology. Letters can also include discussion of papers published by the journal.

Conference Papers

Bioinformatics considers proposals for publishing conference proceeding papers, as supplementary issues or as special sections of the journal. Please be sure to include the following information in your proposal:

• What is the theme of the conference and submitted papers?
• What numbers of papers are expected to be submitted and published?
• What peer review process will be put in place by the conference organisers to recommend papers for publication in the journal?
• How many delegates are expected to attend the conference?
• Assurance that the papers proposed for publication have not and will not be published elsewhere prior to publication in Bioinformatics , or afterwards without the permission of the journal’s publisher.

Pre-submission enquiries are not required for submission. Please read the General instructions and the Scope Guidelines before submitting your full manuscript through our online submission system. If you are interested in submitting a Review paper and have a pre-submission enquiry, please contact [email protected]

Format-Free Submission

Bioinformatics manuscripts can be submitted without being formatted into journal style. Manuscripts will need to be formatted for revision, after acceptance. Follow the below guide to ensure your submission will be within page limits.

• Original papers: up to 7 pages, this is approx. 5000 words, not including figures,
• Application notes: up to 4 pages; this is approx. 2600 words or 2000 words plus one figure.

The journal strongly discourages authors from exceeding stated page limits. Manuscripts exceeding the recommended limits may be rejected without review - for example manuscripts that exceed the limit by 20% or more are usually returned by the Editorial Office immediately.

Previous publication

You should only submit your manuscript(s) to Bioinformatics if:

• It is original work by you and your co-author(s).
• It is not under consideration, in peer review, or accepted for publication in any other publication.
• It has not been published in any other publication.
• It contains nothing abusive, defamatory, derogatory, obscene, fraudulent, or illegal.

The submitting author must disclose in their cover letter and provide copies of all related or similar preprints, dissertations, manuscripts, published papers, and reports by the same authors (i.e., those containing substantially similar content or using the same, similar, or a subset of data) that have been previously published or posted electronically or are under consideration elsewhere at the time of manuscript submission. You must also provide a concise explanation of how the submitted manuscript differs from these related manuscripts and papers. All related previously published papers should be cited as references and described in the submitted manuscript.

Bioinformatics does not discourage you from presenting your findings at conferences or scientific meetings but recommends that you refrain from distributing complete copies of your manuscripts, which might later be published elsewhere without your knowledge.

For previously published materials including tables and figures, please see the Reusing copyrighted materials section.

Manuscripts may be screened using iThenticate to help detect publication misconduct including plagiarism and redundant publication. Any manuscript may be screened, especially if there is reason to suppose part or all of the text has been previously published. Prior to final acceptance any manuscript that has not already been screened may be put through iThenticate. More information about iThenticate is available.

Preprint policy

Authors are encouraged to make the Author’s Original Version (AOV) available as a preprint, and this does not prevent submission to the journal. For further information see our Online Licensing, Copyright and Permissions policies. If accepted, the authors are required to update the status of any preprint, including your published paper’s DOI, as described on our Author Self-Archiving policy page.

bioRxiv (B2J)

Bioinformatics participates in B2J, which means it is set up to accept direct transfers from bioRxiv. This may help authors save time in submission as manuscript files and metadata can be transmitted directly from bioRxiv to the submission system.

Authorship is confined to those who have made a significant contribution to the design and execution of the work described. Any contributors whose participation does not meet the criteria for authorship should be acknowledged but not listed as an author. For a detailed definition of authorship, please see the International Committee of Medical Journal Editors (ICMJE) definitions of authors and contributors .

Bioinformatics uses the contributor roles taxonomy (CRediT), which allows authors to describe the contributor roles in a standardized, transparent, and accurate way. Authors should choose from the contributor roles outlined on the CRediT website and supply this information upon submission. You may choose multiple contributor roles per author. Any other individuals who do not meet authorship criteria and made less substantive contributions should be listed in your manuscript as non-author contributors with their contributions clearly described. Following manuscript submission, any changes to contributor roles require the approval of the editor.

Bioinformatics does not allow ghost authorship, where an unnamed author prepares the article with no credit, or guest/gift authorship, where an author who made little or no contribution is listed as an author. The Journal follows Committee on Publication Ethics (COPE) guidance on investigating and resolving these cases. For more information, please see the OUP Publication Ethics page .

After manuscript submission, no authorship changes (including the authorship list, author order, and who is designated as the corresponding author) should be made without the approval of the editor. All co-authors must agree on the change(s), and neither the Journal nor the publisher mediates such disputes. Any authorship dispute must be resolved among the individuals and their institution(s) before the manuscript can be accepted for publication. If an authorship dispute or change arises after a paper is accepted, contact OUP’s Author Support team. COPE provides guidance for authors on resolving authorship disputes .

Policy for Acceptable Use of Large Language Models

The International Society for Computational Biology (ISCB) has created an acceptable use policy for large language models (LLMs) , which the journal follows. It is likely that these guidelines will be subject to change in the future as the development of these models continues to change.

Common Acceptable Uses:

• As an aid to correct written text (spell checkers, grammar checkers)
• As an aid to language translation, however, the researcher is responsible for the accuracy of the final text
• As an algorithmic technique for research study
• As an evaluation technique (to assist in finding inconsistencies or other anomalies)
• It is permissible to include LLM generated text snippets as examples in research papers where appropriate, but these MUST be clearly labelled, and their use explained.
• Assist in code writing, however, the researcher is responsible for the correct code
• Create documentation for code, however, the researcher is responsible for the correct documentation

Any acceptable use of LLMs or related technologies to produce, or help to produce, part of the text, figures or other contents of the paper should be explicitly declared and documented with sufficient details in the supplementary materials.

Unacceptable Uses:

• It is not acceptable to use LLMs or related technologies to draft papers (including but not limited to text, figures, tables, and references) from a prompt text. In essence, papers must be written by researchers.
• LLMs cannot be listed as authors as they would not fulfil the requirements of authorship as laid out in the ICMJE guidelines .
• It is not acceptable to submit manuscripts received for review to an LLM, nor to rely on an LLM or related technology for generating the review.

Natural language processing tools driven by artificial intelligence (AI) do not qualify as authors, and the Journal will screen for them in author lists. The use of AI (for example, to help generate content, write code, or process data) should be disclosed both in cover letters to editors and in the Methods or Acknowledgements section of manuscripts. Please see the COPE position statement on Authorship and AI for more details .

If your usage of LLMs is not covered by any of these use cases, then please contact the Editor of the journal or Editorial Office.

Disclosure of potential conflicts of interest

Bioinformatics requires all authors to disclose any potential conflict of interest at the point of submission. It is the responsibility of the corresponding author to ensure that conflicts of interest of all authors are declared to the Journal.

A conflict of interest exists when the position, activities, or relationships of an individual, whether direct or indirect, financial or non-financial, could influence or be seen to influence the opinions or activities of the individual. For more information, refer to OUP’s definition of conflict of interest .

Bioinformatics follows the COPE guidance for any undisclosed conflict of interest that emerges during peer review, production, or after publication.

Peer reviewers

Individuals that have a conflict of interest relating to a submitted manuscript should recuse themselves and will not be assigned to oversee, handle, or peer review the manuscript.

If during peer review an editor, reviewer, or author becomes aware of a conflict of interest that was not previously known or disclosed they must inform the Editor-in-Chief immediately.

Editors and editorial board members

At initial submission, the corresponding author must declare if the Editor-in-Chief, an editor, or an Editorial Board Member of the Journal is an author of or contributor to the manuscript. Another editor without a conflict of interest will oversee the peer review and decision-making process. If accepted, a statement will be published in the paper describing how the manuscript was handled.

Availability of Data and Materials

Bioinformatics requires all authors, where ethically possible, to publicly release all data and software code underlying any published paper as a condition of publication. Authors are required to include a data availability statement in their paper. When data and software underlying the research article are available in an online source, authors should include a full citation in their reference list. For details of the minimum information to be included in data and software citations see the OUP guidance on citing research data and software .

Datasets used in the manuscript should be deposited in a public repository (data access controlled repositories are acceptable, where appropriate). Visit OUP’s Research data page for information on general repositories for all data types, and resources for selecting repositories by subject area. The review of manuscripts describing new software, or where novel algorithms, code and/or data are central to the manuscript, includes peer review of the algorithm/code and underlying data. We therefore require that all relevant software and/or data are made available to the reviewers during the review process.

Data Availability Statement

The inclusion of a data availability statement is a requirement for papers published in Bioinformatics . Data availability statements provide a standardized format for readers to understand the availability of original and third-party data underlying the research results described in the paper. The statement should describe and provide means of access by linking to the data or providing the required unique identifier.

More information and example data availability statements .

Data Citation

Bioinformatics supports the Force 11 Data Citation Principles and requires that all publicly available datasets be fully referenced in the reference list with an accession number or unique identifier such as a digital object identifier (DOI). Data citations should include the minimum information recommended by DataCite :

• [dataset]* Authors, Year, Title, Publisher (repository or archive name), Identifier

*The inclusion of the [dataset] tag at the beginning of the citation helps us to correctly identify and tag the citation. This tag will be removed from the citation published in the reference list.

Submitting authors are required to provide an ORCID iD (Open Researcher and Contributor ID) at submission.

If you do not already have an ORCID iD, you can register for free via the ORCID website .

As ORCID identifiers are collected, they are included in papers and displayed online, both in the HTML and PDF versions of the publication, in compliance with recommended practice issued by ORCID.

ORCID functionality online allows users to link to the ORCID website to view an author’s profile and list of publications. ORCID iDs are displayed on web pages and are sent downstream to third parties in data feeds, where supported.

If you have registered with ORCID, you can associate your ORCID iD with your submission system account by going to your account details, entering your ORCID iD, and validating your details. Learn more about ORCID and how to link it to your account.

If the manuscript describes new software tools or the implementation of novel algorithms, the authors must:

• provide a self-contained and easy-to-use implementation of the software together with appropriate test data and detailed documentation on how to acquire, install, and run the software. This includes information on the purpose and values of all optional parameters.
• make the software and the source code freely available at stable URLs (e.g. github, bitbucket) without request to non-commercial users at the time of submission (availability must be clearly stated in the manuscript)
• ensure that the submitted software version and test data are also archived at dedicated repositories such as Zenodo, Figshare, Software Heritage, CRAN, and Bioconductor and provide the corresponding URL in the availability section of the abstract.

We require authors to provide information on how to reproduce results/figures described in the manuscript. The name of the software should be included in the title of the manuscript wherever possible. We encourage authors to provide access through an open source license (see Open Source Initiative page for examples) and to implement the software using a non-proprietary programming language.

If the study relies on already published methods, the corresponding software used must have its code open and accessible to allow for reproducibility of the results described in the manuscript.

For any article that presents software, in addition to making the source code available, we encourage submission to Code Ocean, a cloud-based computational reproducibility platform. Code Ocean supports any open-source programming language (as well as MATLAB and Stata). Authors should upload their code and data, specifying the appropriate languages and dependencies within the computational environment, to create a “compute capsule” that reproduces the results.

Once the code is published on Code Ocean, you will be issued DOI, which should be used to cite the compute capsule in the software section and any other relevant reference in the paper. Readers will then be able to view and verify the article’s results without needing to download or install anything. To submit, sign up on the Code Ocean website .

Authors wishing to publish papers based on MATLAB code are required to enable their work to be reviewed and reproduced, and we encourage authors to explore the use of Code Ocean or similar to achieve this.

If the manuscript describes a web server or web service, the authors must:

• ensure that web servers described are accessible without login credentials, except in exceptional cases
• ensure that it is fully functional at the time of submission
• ensure that the HTTPS protocol is used (the URL must be clearly stated in the manuscript)
• include test data (e.g. through loading buttons) that can be easily used for formatting requirements
• provide the source code freely available at stable URLs (e.g. github, bitbucket) without request to non-commercial users at the time of submission
• provide help pages and a tutorial on how to use the web server and how to interpret the results
• provide support / maintenance for at least 3 years after publication.

The name of the web server or web service should be included in the title of the manuscript wherever possible.

Machine learning

Machine learning as technology has implications for many application areas but in all cases, the application of machine learning methods Papers using machine learning must contain a dedicated subsection clearly describing the composition of the training dataset. This should include information on the preparation of the cross-validation sets and of an independent test set that is not used in the training process. For data originating from biological sequences the description must furthermore address how homology between sequences is taken into account to ensure that the training and independent test sets do not have identical or near identical examples. Papers using leave-one-out will be editorially rejected unless there is a special circumstance in which it can be argued that this procedure is meaningful for the problem addressed in the paper. Machine learning papers must report the performance on an independent test set. It is not sufficient to report the average error over the individual cross-validation sets. For Original papers this subsection should appear in the methods section and for Application notes in the supplementary material.

Supporting Data

Bioinformatics is aligned with the general movement towards open FAIR data. All data on which the conclusions given in the publication are based must be publicly available in stable public repositories. Bioinformatics fully supports the recommendations of the National Academies regarding data sharing (see Board on Life Sciences, Sharing Publication-Related Data and Materials: Responsibilities of Authorship in the Life Sciences ). If the analysis is based on new datasets, authors must submit these to appropriate public repositories. All data must be made available to the journal for the purpose of peer review.

Supplementary Data

Only directly relevant material should be included in the full text of manuscripts. Supporting materials and Appendices which are not essential for inclusion in the full text, but would nevertheless benefit the reader, can be published as Supplementary Data. Supplementary Data should be submitted for review, in a separate file or files from the manuscript. Authors should make sure that all additional text, figures and tables are presented in a single file. Authors should ensure that the Supplementary Data is referred to in the main manuscript at an appropriate point in the text. Supplementary Materials cannot be altered or replaced after the paper has been accepted for publication. For the purpose of long-term preservation of this information, we require supplementary material to be published and stored on our website. It is acceptable for authors to post supplementary material on their own website in addition to this, but not in place of this.

Pre-screening

At present the journal accepts ~30% of manuscripts that are submitted. To increase the efficiency of the publication process, manuscripts received in the Bioinformatics office therefore undergo a pre-screening process. Papers that are considered to be of less significance to the readership of the journal are returned without review.

The review process

Bioinformatics operates single-anonymized peer review, meaning that the identity of the authors is known to the editors and to the reviewers, but that the reviewers’ identities are known only to the editors and are hidden from the authors.

Once a submitted manuscript passes initial assessment by the Journal’s Editor-in-Chief, it will then be passed to an associate editor, who will oversee peer review and make a final decision.

Editors and reviewers must not handle manuscripts if they have a conflict of interest with an author or the content. Editors make every effort to avoid potential conflicts of interest in the assignment of other editors and peer reviewers. For more information, please see the section on Disclosure of potential conflicts of interest. During the peer review phase, your manuscript is typically sent to three reviewers.

You may suggest potential reviewers at submission. However, there is no guarantee the suggested reviewers will be selected by the Journal. Recommended reviewers should be experts in their field and able to provide an objective assessment of your manuscript without financial or interpersonal conflicts of interest with any authors. We encourage you to consider reviewers from a diverse range of backgrounds, including those from under-represented communities.

If your manuscript is accepted for publication, the reviewer comments will not be published alongside the paper.

For full details about the peer review process, see Fair editing and peer review or OUP author FAQs .

In some cases, the editorial team of Bioinformatics may offer you the option of transferring your manuscript to Bioinformatics Advances to another journal. If you accept this offer, the manuscript files and reviewer reports from consenting reviewers will be sent to the receiving journal.

When accepted by the editors, authors may be asked to send the files of the final manuscript to the editorial office. These files are used for typesetting and should be either Word or LaTex files.

Because accepted manuscripts are published online following acceptance, it is important that the final version of the manuscript supplied by the author contains no information regarding the citation information (volume, issue, year) or a copyright line as this will mislead readers.

Authors should observe high standards with respect to research integrity and publication ethics as set out by the Committee on Publication Ethics (COPE). Falsification or fabrication of data including inappropriate image manipulation, plagiarism, including duplicate publication of the author's own work without proper citation, citation manipulation, and misappropriation of work are all unacceptable practices. Allegations of ethical misconduct are treated seriously and will be investigated in accordance with the relevant COPE guidance .

If misconduct has been established beyond reasonable doubt, this may result in one or more of the following outcomes, among others:

• If a submitted manuscript is still under consideration, it may be rejected and returned to the author.
• If a paper has already been published online, depending on the nature and severity of the infraction, either a correction notice will be published and linked to the paper, or retraction of the paper will occur, following the COPE Retraction Guidelines .
• The relevant party’s institution (s) and/or other journals may be informed.

Manuscripts submitted to the Journal may be screened with plagiarism-detection software. Any manuscript may be screened, especially if there is reason to suppose that part or all the of the manuscript has been previously published.

COPE defines plagiarism as “when somebody presents the work of others (data, words or theories) as if they were their own and without proper acknowledgment.”

COPE defines redundant/overlapping publication as “when a published work (or substantial sections from a published work) is/are published more than once (in the same or another language) without adequate acknowledgment of the source/cross-referencing/justification, or when the same (or substantially overlapping) data is presented in more than one publication without adequate cross-referencing/justification, particularly when this is done in such a way that reviewers/readers are unlikely to realise that most or all the findings have been published before.”

COPE defines citation manipulation as “behaviours intended to inflate citation counts for personal gain, such as: excessive self-citation of an authors’ own work, excessive citation to the journal publishing the citing article, and excessive citation between journals in a coordinated manner.”

Data fabrication is defined as intentionally creating fake data or misrepresenting research results. An example includes making up data sets.

Data falsification is defined as manipulating research data with the purpose of intentionally giving a false representation. This can apply to images, research materials, equipment, or processes. Examples include cropping of gels/images to change context and omission of selected data.

If notified of a potential breach of research misconduct or publication ethics, the Journal editor and editorial office staff may inform OUP and/or the author’s institutional affiliation(s).

Ethical research

Bioinformatics follows Committee on Publication Ethics (COPE) guidelines on ethical oversight. We take research integrity seriously, and all research published in the Journal must have been conducted in a fair and ethical manner. Wherever appropriate, the Journal requires that all research be done according to international and local guidelines.

C4DISC partnership

The Journal and OUP aim to create a community that fosters diversity, equity, and inclusion. As part of our commitment to these principles, OUP is a proud partner of the Coalition for Diversity & Inclusion in Scholarly Communications (C4DISC) . C4DISC works with organizations and individuals within the scholarly communications landscape to foster equity, inclusion, diversity, and accessibility across the publishing industry and its published outputs.

Inclusive language

As defined by the Linguistic Society of America , “Inclusive language acknowledges diversity, conveys respect to all people, is sensitive to differences, and promotes equal opportunities”. We encourage you to consider using inclusive language and images when preparing your manuscript. For guidelines, please see the C4DISC Guidelines on inclusive language and images .

• Accessibility

Written, visual, and audio content in your submission should be accessible to all. Please see the C4DISC guidelines for making text, images, charts, tables, and audio and video accessible.

Appeals and complaints

Authors may appeal an editorial decision. To do so, please contact the editorial office at [email protected] , providing as much specific detail as possible about why the original decision should be reconsidered. Please do not resubmit your manuscript in the interim.

To register a complaint regarding non-editorial decisions, the Journal’s policies and procedures, editors, or staff, please contact [email protected] . Complaints will be taken seriously and will be carried forward following COPE guidelines and processes.

Bioinformatics Advance Access

Bioinformatics Advanced Access articles are initially published in their 'Accepted Manuscript' form as soon as possible post acceptance. Subsequently, a copyedited, typeset, corrected version of the 'Corrected Proof' is published in an open issue of the journal. More information, including how to cite Advance Access papers, can be found on the Advance Access Page .

Complimentary ISCB memberships for authors

Bioinformatics is a journal of the ISCB and as part of our partnership with the Society we have 200 complimentary ISCB memberships to offer our authors each year. If you are the corresponding author of a Bioinformatics paper and would like to request this, please contact the ISCB after your article has been published.

Bioinformatics is a fully open access journal, and all articles are published in the journal under an open access license immediately upon publication. From January 1, 2023 articles published in Bioinformatics have published under the Creative Commons Attribution license (CC BY). Papers submitted before this date may be published under other creative commons licenses. You will need to pay an open access charge to publish under an open access licence.

Details of the open access licences and open access charges.

Charges for Original Articles, Application Notes, and Reviews:

• Regular charge: $3,989
• Discount for ISCB members*: 15%

Charges for Letters to the Editor, Editorials, Fast Track, Announcements, and Supplement Papers:

• Regular charge: $0

In order to receive this discount, ISCB members must claim this discount prior to signing a license to publish. Please do so by contacting the Author Support Team ( [email protected] ) and informing them that you are an ISCB member.

OUP has a growing number of Read and Publish agreements with institutions and consortia which provide funding for open access publishing. This means authors from participating institutions can publish open access, and the institution may pay the charge. Find out if your institution is participating .

If you have further questions about Bioinformatics’ move to open access, please visit our FAQ page .

Third-Party Content in Open Access papers

If you will be publishing your paper under an Open Access licence but it contains material for which you do not have Open Access re-use permissions, please state this clearly by supplying the following credit line alongside the material:

• Title of content
• Author, original publication, year of original publication, by permission of [rights holder]

This image/content is not covered by the terms of the Creative Commons licence of this publication. For permission to reuse, please contact the rights holder.

Papers must be clearly and concisely written in English and within the recommended length. In the interests of speed, manuscripts are not extensively copyedited and authors are requested to check their texts carefully before submitting them so that proofs will require only correction of typographical errors.

Cover letter

All submissions must be accompanied by a cover letter explaining the suitability of the paper for Bioinformatics . Submissions omitting a cover letter may be editorially rejected. If the submitted manuscript deviates from the requirements listed in the Instructions to Authors, the reasons for this must be clearly explained. For example, machine learning papers deviating from the listed requirements must explain why this is necessary and specifically suited to the problem addressed.

How to prepare text and figures

Guidelines on the types of documents that can be uploaded to the online submission system .

Prepare your figures at publication quality resolution, using applications capable of generating high-resolution .tif files (1200 d.p.i. for line drawings and 350 d.p.i. for colour and half-tone artwork). Useful information on preparing your figures for publication . For online submission, please also prepare a second version of your figures at low-resolution for use in the review process; these versions of the figures can be saved in .jpg, .gif, .tif or .eps format. For INITIAL submission, it is preferable that you insert the low-resolution versions of the figures and tables into the word processing document, but you can also upload these versions as separate files.

Sections of the manuscript

Please subdivide manuscripts into the following sequence of sections, according to the type of paper:

• Original papers: Title page, Structured Abstract, Introduction, System and methods, Algorithm, Implementation, Discussion, References.
• Reviews: May be in a format best suited to subject matter, but should include Title page, Structured Abstract, Text, References. For clarity the main body of text should be sub-divided into sections.
• Applications notes: Title page, Short Structured Abstract, Text.

The title should be short, specific and informative, avoiding if possible version number and the words: tool, package, application, software (and similar). If novel software is being described, the name of the software should be included in the title. The surname and initials of each author should be followed by his/her department, Institution, city with postal code and country. Any changes of address may be added to the footnotes.

Structured Abstract (see recent issues of journal for examples)

Original papers.

Abstracts are structured with a standard layout such that the text is divided into sub-sections under the following five headings: Motivation, Results, Availability and Implementation, Contact and Supplementary Information. In cases where authors feel the headings inappropriate, some flexibility is allowed. The abstracts should be succinct and contain only material relevant to the headings. A maximum of 150 words is recommended. If internet hyperlinks are available for any part of the abstract, then this should be given in the form of 'clickable text', i.e.{{http://www...}}.

• Motivation : This section should specifically state the scientific question within the context of the field of study.
• Results : This section should summarize the scientific advance or novel results of the study, and its impact on computational biology.
• Availability and Implementation : This section should state software availability if the paper focuses mainly on software development or on the implementation of an algorithm. Examples are: 'Freely available on the web at http://www.example_url.org.' Website implemented in Perl, MySQL and Apache, with all major browsers supported'; or 'Source code and binaries freely available for download at URL, implemented in C++ and supported on Linux and MS Windows'. The complete address (URL) should be given. If the manuscript describes new software tools or the implementation of novel algorithms the software must be freely available to non-commercial users. Authors must also ensure that the software is available for a full two years following publication. The editors of Bioinformatics encourage authors to make their source code available and, if possible, to provide access through an open source license (see Open Source Initiative page for examples).
• Contact : Full email address to be given, preferably an institution email address.
• Supplementary information : Links to additional figures/data available on a web site, or reference to online-only supplementary data available at the journal's web site.

Applications Notes

Abstracts for Applications Notes are much shorter than those for an Original Paper. They are structured with four headings: Summary, Availability and Implementation, Contact and Supplementary Information.

• Summary : This section should summarize the purpose/novel features of the program in one or two sentences.
• Availability and Implementation : See above for advice and examples for this section.
• Contact : Full email address to be supplied, preferably an institutional address.
• Supplementary information : Links to additional figures/data available on a web site, or reference to online-only Supplementary data available at the journal's web site.

Acknowledgements

These should be included at the end of the text and not in footnotes. Please ensure you acknowledge all sources of funding, see funding section below.

Details of all funding sources for the work in question should be given in a separate section entitled 'Funding'. This should appear first in the 'Acknowledgements' section.

Funding information

The following rules should be followed:

• The sentence should begin: ‘This work was supported by …’
• The full official funding agency name should be given, i.e. ‘National Institutes of Health’, not ‘NIH’ (full RIN-approved list of UK funding agencies)
• Grant numbers should be given in brackets as follows: ‘[grant number xxxx]’
• Multiple grant numbers should be separated by a comma as follows: ‘[grant numbers xxxx, yyyy]’
• Agencies should be separated by a semi-colon (plus ‘and’ before the last funding agency)
• Where individuals need to be specified for certain sources of funding the following text should be added after the relevant agency or grant number 'to [author initials]'.

An example is given here: ‘This work was supported by the National Institutes of Health [AA123456 to C.S., BB765432 to M.H.]; and the Alcohol & Education Research Council [hfygr667789].’

Oxford University Press will deposit all NIH-funded articles in PubMed Central. See Depositing articles in repositories – information for authors for details. Authors must ensure that manuscripts are clearly indicated as NIH-funded using the guidelines above.

Crossref Funding Data Registry

In order to meet your funding requirements authors are required to name their funding sources, or state if there are none, during the submission process. For further information on this process or to find out more about the CHORUS initiative please click here. For further information on this process or to find out more about CHORUS, visit the CHORUS initiative .

The journal follows Oxford SCIMED style. Please refer to these requirements when preparing your manuscript after initial review.

Previous work in the field should be mentioned. Sufficient information should be given so that an application can be re-implemented. A test data set and results must be provided (where appropriate).

Authors are responsible for the accuracy of the References. Published articles and those in press (state the journal which has accepted them) may be included.

Personal communications (J.Smith, personal communication) should be authorized by those involved in writing, and unpublished data should be cited as (unpublished data). Both should be used as sparingly as possible and only when the unpublished data referred to is peripheral rather than central to the discussion. References to manuscripts accepted for publication but not yet published should be included in the reference list as 'in press'.

Tables should be embedded within the main document file and be numbered consecutively. Tables should be self-explanatory and include a brief descriptive title. Footnotes to tables should be indicated by lower case letters but should not include extensive experimental detail.

All figures should be embedded within the text inside the main document file and referred to in the text as Figure 1 etc. All figures should be formatted to fit into, or be reduced to, a single (86 mm) or double (178 mm) column width. Figure legends should appear adjacent to the relevant figure.

• Web screen dumps : The editors prefer tables or figures instead of web screen dumps. All figures should have a white background to increase the contrast between the illustration and the background, so that the figure is easy to read.
• Line illustrations : These must be of sufficient quality for publication as submitted, i.e. clear, sharp, clean and of even density. Figures will NOT be redrawn or relabelled. Any lettering or text should be in proportion with the rest of the figure.
• Photographs : These must be of sufficient quality with respect to detail, contrast, and fineness of grain to withstand the unavoidable loss of contrast inherent in the publication process.
• Colour figures : Colour figures are free of charge.

Figure accessibility and alt text

Incorporating alt text (alternative text) when submitting your paper helps to foster inclusivity and accessibility. Good alt text ensures that individuals with visual impairments or those using screen readers can comprehend the content and context of your figures. The aim of alt text is to provide concise and informative descriptions of your figure so that all readers have access to the same level of information and understanding, and that all can engage with and benefit from the visual elements integral to scholarly content. Including alt text demonstrates a commitment to accessibility and enhances the overall impact and reach of your work.  

Alt text is applicable to all images, figures, illustrations, and photographs. 

Alt text is only accessible via e-reader and so it won’t appear as part of the typeset article. 

Detailed guidance on how to draft and submit alt text . 

Conventions

In general, the journal follows the conventions of the CBE Style Manual (Council of Biology Editors, Bethesda, MD, 1983, 5th edition). Follow Chemical Abstracts and its indices for chemical names. For guidance in the use of biochemical terminology follow the recommendations issued by the IUPAC-IUB Commission on Biochemical Nomenclature, as given in Biochemical Nomenclature and Related Documents, published by the Biochemical Society, UK. For enzymes, use the recommended name assigned by the IUPAC-IUB Committee on Biochemical Nomenclature, 1978, as given in Enzyme Nomenclature, published by Academic Press, New York, 1980. Where possible, use the recommended SI units. Genotypes should be italicized. Phenotypes should not be italicized. For bacterial agents nomenclature follow Demarc et al. (1966) Genetics, 54, 61-76.

Submissions written using LaTeX are welcome, and we’d ask that you please use the OUP LaTeX template available at overleaf.com . Please also see our useful information on preparing your manuscript for publication .

The template is also available on Overleaf.com, at CTAN, and as a direct download. TEX-based manuscripts should be produced using the LaTeX article style format only. The document style options used must indicate two-column text with 86 mm column widths.

TEX-based manuscripts should be produced using the LaTeX article style format only. The document style options used must indicate two-column text with 86 mm column widths.

For authors using LaTeX: our ScholarOne website does not compile LaTeX files, so please compile a PDF or PS before uploading. PDF files generated with pdfTeX/pdfLaTeX sometimes fail on the ScholarOne Manuscripts system; this can be fixed by adding \pdfminorversion=5 to the preamble of your LaTeX file, or alternatively by converting to a PS file before uploading. Please check the PDF generated by the system before submitting.

Pre-submission language editing

You may wish to use a language-editing service before submitting to ensure that editors and reviewers understand your manuscript. Our publisher, Oxford University Press, partners with Enago, a leading provider of author services. Through the OUP-Enago partner page , prospective authors are entitled to a discount for language editing, abstract and layperson summary writing, rejected manuscript editing, and creation of graphical abstracts, illustrations, and videos.

Enago is an independent service provider, which will handle all aspects of this service, including payment. As an author you are under no obligation to take up this offer. Language editing and other services from Enago are optional and do not guarantee that your manuscript will be accepted. Edited manuscripts will undergo the regular review process of the Journal. For more details and a list of additional resources, please see OUP’s page on language services .

Authors are sent page proofs by email. These should be checked immediately and returned to the publishers by email (further details are supplied with the proof).

Changes to published papers

Bioinformatics will only make changes to published papers if the publication record is seriously affected by the academic accuracy of the published information. Changes to a published paper will be accompanied by a formal correction notice linking to and from the original paper.

As needed, we follow the COPE guidelines on retractions .

For more information and details of how to request changes, including for authors who wish to update their name and/or pronouns, please see OUP’s policy on changes to published papers .

Graphical abstracts

A graphical abstract is a single figure prepared by the authors that summarizes the key point(s) of an article and serves as a visual introduction to encourage interest in the content. When preparing your graphical abstract, keep in mind that they are ideally suited for promoting your article on social media, so text should be large enough to be read in that context and the image should be oriented in landscape format.

Please also consider the accessibility of your graphical abstract to all readers. See OUP’s Guidelines for making figures accessible .

Graphical abstracts are peer reviewed and published as part of the article online and in the PDF. It also appears in the table of contents and some other journal pages including in search results.

Your graphical abstract should be submitted as a separate file, selecting the appropriate file type designation in the online submission system. The file should be named “graphical_abstract”. Please see OUP's guidance on appropriate file format and resolution for graphics .

Authors are encouraged to submit a graphical abstract in addition to a text abstract for their manuscript at initial submission.

This category includes: Comparative genomics, genome assembly, genome and chromosome annotation, identification of genomic features such as genes, splice sites and promoters.

We will consider algorithms and applications in any of the above areas. Small improvements or modifications of existing algorithms will generally not be suitable, unless novel biological results have been predicted and verified. New methods MUST be compared to existing state-of-the-art methods, using real biological data. Improvements in speed of methods may be considered if it is demonstrated that this will significantly widen the application of the method.

This category includes: Multiple sequence alignment, sequence searches and clustering; prediction of function and localisation; novel domains and motifs; prediction of protein, RNA and DNA functional sites and other sequence features.

We will consider algorithms and applications in any of the above areas. Small improvements or modifications of existing algorithms will generally not be suitable, unless novel biological results have been predicted and verified. New methods MUST be compared to existing state-of-the-art methods, using real biological data. Improvements in speed of methods may be considered if it is demonstrated that this will significantly widen the application of the method. Papers that analyse existing sequence data will only be considered if novel biological insight is obtained.

This category includes: novel phylogeny estimation procedures for molecular data including nucleotide sequence data, amino acid data, whole genomes, SNPs, etc., simultaneous multiple sequence alignment and phylogeny estimation, phylogenetic approaches for any aspect of molecular sequence analysis (see Sequence Analysis scope), models of molecular evolution, assessments of statistical support of resulting phylogenetic estimates, comparative methods, coalescent theory, approaches for comparing phylogenetic trees, methods for testing and/or mapping character change along a phylogeny.

We will consider algorithms, applications, databases, data repositories, and representation tools in any of the above areas. Small improvements or modifications of existing algorithms will generally not be suitable, unless novel biological results have been predicted and verified. New methods MUST be compared to existing state-of-the-art methods, using real or simulated biological data with a preference towards the combination of both approaches. Improvements in capabilities and/or speed of methods may be considered if it is demonstrated that this will significantly widen the application of the method. Papers that analyse existing sequence data will only be considered if novel biological insight is obtained.

Structural Bioinformatics

This category includes: New methods and tools for structure prediction, analysis and comparison; new methods and tools for model validation and assessment; new methods and tools for docking; models of proteins of biomedical interest; protein design; structure based function prediction.

We will consider algorithms, applications and databases in any of the above areas relating to Protein, RNA or DNA. We will consider papers related to new methods for organizing structural information, and for its representation. Small improvements or modifications of existing algorithms will generally not be suitable. New methods MUST be compared to existing state-of-the-art methods, using real biological data. Papers that are mainly based on three-dimensional models of macromolecules, molecular dynamics simulations and docking results will not be considered. Descriptions of repositories of automatically generated models will only be published if it can be demonstrated that they provide significant advantages over existing ones.

If your manuscript describes a three-dimensional model of a protein that has been manually built, you should deposit it in the PMDB database (see also NAR 34, 306-309). The database will return a unique identifier which you can include in your manuscript, thereby allowing readers to have access to your model.

Gene Expression

This category includes a wide range of applications relevant to the high-throughput analysis of expression of biological quantities, including microarrays (nucleic acid, protein, array CGH, genome tiling, and other arrays), RNA-seq, proteomics and mass spectrometry. Approaches to data analysis to be considered include statistical analysis of differential gene expression; expression-based classifiers; methods to determine or describe regulatory networks; pathway analysis; integration of expression data; expression-based annotation (e.g., Gene Ontology) of genes and gene sets, and other approaches to meta-analysis.

We will consider novel algorithms and applications in the above areas that constitute significant advances. Applications (including databases and web resources) will only be considered if significantly innovative. Measures of significance include anticipated impact on broad community and replacement of heuristics with principled approaches. New methods MUST be compared to existing state-of-the-art methods, using real biological data. Development in areas with established approaches, such as normalization or classification, must represent a conceptual advance and show more than marginal improvement over existing methods.

Genetics and Population Analysis

This category includes: Segregation analysis, linkage analysis, association analysis, map construction, population simulation, haplotyping, linkage disequilibrium, pedigree drawing, marker discovery, power calculation, genotype calling.

We will consider algorithms and applications in any of the above areas. Small improvements or modifications of existing algorithms will generally not be suitable, unless novel biological results have been predicted and verified. New methods MUST be compared to existing state-of-the-art methods, using real biological data. Improvements in speed of methods may be considered if it is demonstrated that this will significantly widen the application of the method. We consider statistical methodology only when there is significant bioinformatics content such as new algorithms or software. We do not consider software that implements methods recently published elsewhere by the same authors.

Systems Biology

This category includes whole cell approaches to molecular biology. Any combination of experimentally collected whole cell systems, pathways or signalling cascades on RNA, proteins, genomes or metabolites that advances the understanding of molecular biology or molecular medicine will be considered. Interactions and binding within or between any of the categories will be considered including protein interaction networks, regulatory networks, metabolic and signalling pathways. Detailed analysis of the biological properties of the systems are of particular interest.

We will consider algorithms, applications, databases, data repositories, and visualization and representation tools in any of the above areas. Systems for the simulation of dynamics and/or spatial behaviour will be also considered. Small improvements or modifications of existing algorithms will generally not be suitable, unless novel biological results have been predicted and verified. New methods MUST be compared to existing state-of-the-art methods, using real biological data. The inclusion of experimental data is very much encouraged.

Data and Text Mining

This category includes: New methods and tools for extracting biological information from text, databases and other sources of information. Description of tools to organize, distribute and represent this information. New methods for inferring and predicting biological features based on the extracted information. The submission of databases and repositories of annotated text, computational tools and general methodology for the work in this area are encouraged, provided that they have been previously tested.

The journal requires that methods, systems and data to be made public. Strong emphasis should be placed on the biological applicability of the methods and the application to realistic biological scenarios. The main interest of the journal is the application to problems in molecular biology, but we also encourage submissions related with the relation between molecular and other type of data such as clinical, epidemiological, evolutionary, genomics, and others. Combination of information extraction technologies from heterogeneous sources and the combination with various computational approaches is also encouraged. The journal is not primarily interested in publishing analysis related with the sociological aspects of publications. The use of standard data sets for the evaluation of the methods is strongly advised, as well as the comparison with previous methods using common data sets.

Databases and Ontologies

This category includes: Curated biological databases, data warehouses, eScience, web services, database integration, biologically-relevant ontologies.

We will consider applications in any of the above areas. Descriptions of databases will not be published if they have been previously described unless there have been substantial changes or enhancements that represent a fundamental change in the database. We encourage Application Notes describing programmatic interfaces to biological data and services.

Bioimage Informatics

This category includes novel methods for the acquisition, analysis and modelling of images produced by modern microscopy, with an emphasis on the application of innovative computational methods to solve challenging and significant biological problems at the molecular, sub-cellular, cellular, and tissue levels.

This category also encourages large-scale image informatics methods/applications/software, joint analysis of multiple heterogeneous datasets that include images as a component, and development of bioimage-related ontologies and image retrieval methods.

We will not consider manuscripts that describe straightforward application of established computational methods to biological datasets, nor those that report incremental improvements in performance on benchmark datasets without a substantial advance in methodology. New methods MUST be compared to existing state-of-the-art methods, using real biological data. Manuscripts describing methods that rely on substantial user intervention are also discouraged.

Bioinformatics sends and receives transfers from other journals on related topics published by Oxford University Press. All transfers are sent according to the choice of the authors. Unless a reviewer declines to have their feedback shared, reviewer reports and the original decision letter are included in the transfer, but the reviewer identities are not shared.

Transferred manuscripts may be sent out for additional peer review, and a decision will be made on the manuscript based on the feedback from all reviewers and the judgment of the editorial team.

Contact OUP

After your paper has been sent to production, you can contact [email protected] for questions regarding the production process or publication. Please see Changes to published papers if you need to request a substantive change to your published paper.

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