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Resume Examples Science Resume Bioinformatics Resume

Bioinformatics Resume Examples & Template

Headshot of Conrad BenzWritten By Conrad BenzContent Manager & Hiring Manager
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Headshot of Geoffrey Scott, Senior Manager and Certified Professional Resume Writer at Resume Genius (the smartest online resume builder)Reviewed By Geoffrey ScottProfessional Resume Writer, Career Coach, & Senior Hiring Manager
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Conrad Benz

Content Manager & Hiring Manager

8 years of experience

Conrad Benz is a Content Manager and Hiring Manager at Resume Genius. With nearly a decade of experience as a career services professional, Conrad is passionate about helping people navigate...

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A bioinformatics resume should show more than your coding skills—it needs to reflect your ability to translate biological data into actionable insights.

Our bioinformatics resume example and template was reviewed by a certified professional resume writer, so you know it highlights what employers in biotech and research really look for.

Updated September 18, 2025
A bioinformatics resume example with a dark blue color scheme and contact information listed in the footer
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Bioinformatics Resume Examples by Experience Level

Entry Level Bioinformatician Example of an entry level bioinformatics resume
Experienced Bioinformatician A bioinformatics resume example with a dark blue color scheme and contact information listed in the footer
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Table of Contents
Table of Contents
  • Bioinformatics Resume Examples
    • Bioinformatics resume template
    • How to write your bioinformatics resume
    • Average bioinformatics salaries in the US
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Bioinformatics resume template

Use this template to organize your skills and experience into an impressive resume format that compels employers to call you for an interview.

[Your Name]
[Your Address], [City, State]
[Your Email Address] | [Your Phone Number]
[LinkedIn Profile] (optional)
Professional Summary
Bioinformatics Supervisor with 6 years of experience in computational biology, integration algorithms, and genomic data sets. Endowed with strong research and analytical skills, and able to investigate complex subjects for biological and cellular studies. Eager to continue finding long-lasting solutions for the treatment of genetic diseases by building bioinformatics infrastructures and interpreting relevant data.
Skills
  • Computer: MS Office (Word, Excel, and PowerPoint), Python, SQL, Perl, Java, R
  • Professional: Data operation, computational analysis, lab management, statistical research, critical thinking, programming, leadership, attention to detail, communication
Professional Experience
Bioinformatician
NYU Langone Health, New York, NY | May 20XX – Present
  • Conduct sequence analysis of biosamples and draft 9 distinct progress reports to illustrate genomic data inconsistencies in internal databases for scientists and project teams
  • Perform data quality control and validation, creating new algorithms for Next Generation Sequencing (NGS), genotyping and validating genomic data sets
  • Trained 24 undergraduate students in microarray data analysis, research and testing protocols, and evaluation of complex biological data
  • Led the development of a research project to explore new drug treatments against cancer by analyzing 300+ large-scale datasets to extract potentially useful genomic data
Bioinformatics Analyst
Biogen IDEC, Junction City, KS | August 20XX – April 20XX
  • Joined a team of 6 product development experts to evaluate new software options for the application of RNA sequencing, microarray genotyping, and sequencing pipelines
  • Collaborated with a team of senior software technicians to create statistical models for processing large quantities of data and generate more accurate genome analysis
  • Developed 5 new computational algorithms for long-range sequencing of tumors, observed how to detect tumor-derived DNA from patient blood plasma, and applied statistical models to better understand cancer development and prevention
  • Used bioinformatics and biostatistics to generate new hypotheses, identify targets, and integrate biological and genomic data sets
Education
Resume Genius University | Bachelor of Science in Biotechnology
Graduation Date: May 20XX

How to write your bioinformatics resume

Bioinformaticians rely on an understanding of biological principles and advanced computational skills to analyze biological data.

Bioinformatics analysts are also known as:

  • bioinformatics engineers
  • bioinformatics programmers
  • computational biologists
  • biological data scientists

A fairly recent interdisciplinary field launched largely by the Human Genome Project and the decreasing price of whole-genome sequencing, bioinformatics positions abound in both academia and industry.

If you’re applying to postdocs or other positions in academia, you’ll need an academic CV. But, for positions in industry, you should write a bioinformatics resume.

Follow our two tips to write a bioinformatics resume that lands your next position:

1. Include extra sections on your bioinformatics resume

Because bioinformatics is a highly specialized field, employers require some information usually reserved for academic CVs to verify you have the appropriate experience (or education) in both biology and computer science.

List your Github in your contact information

In addition to your standard contact information, provide the link to your Github or preferred open source repository account. Listing this information allows employers to see the kinds of projects you’ve done and understand how you work.

So employers can learn more about your past work experience through your published work, you may want to also include your Google Scholar profile or ORCID in your contact information.

Elaborate on your education

Most bioinformatics employers prefer or even require you to list an advanced degree on your resume. If a Master’s or PhD degree is required, mention your degree in your resume summary in addition to your education section so the hiring manager doesn’t miss it.

Note how this applicant includes their degree in their resume summary:

Computational biologist with a Master’s degree in Bioinformatics and experience using Python, R, and Linux to analyze mass spectrometry and next-generation sequencing data. First author of 4 publications looking to bring analytical skills and molecular biology expertise to Genentech.

If you’ve just graduated and are writing a resume with no work experience, put your education at the top of your resume. List your thesis title and relevant coursework to show your target employers you have the expertise to tackle their particular problems and data sets.

Mention your publications

Like other accomplishments on your resume, your publications show employers you can take a project to peer review.

If your target job specifically asks for a strong record of publication and will require you to publish heavily, you should dedicate a specific section for your publications on your resume.

In your resume’s publication section, format your publications consistently according to your chosen style guide. You can order your publications by importance or in reverse-chronological order, like this bioinformatics analyst does below:

PUBLICATIONS

Dillmount, M., Smith, J., Brown, D., Graydon, T. et al. Human transcriptional programs are mistimed in B cell lymphoma. XXX Journal XX, 13-24 (20XX).

Lo, L., Wang, T., Li, M., Brown, D., Wang, C.Y. & Fong, S. Novel prognostic genes of B-cell lymphoma revealed by gene expression data. XXX Journal XX, 07-13 (20XX).

McClain, C., Williams, L., Fry, J., Brown, D. & Carnes, A.A. Annotated proteome of a human B-cell lymphoma. XXX Journal XX, 1341-1346 (20XX).

But, if you don’t have many publications or the target employer needs to know you can publish (but not the full details of what you published), you can also mention your publications briefly in your:

  • resume summary
  • education section
  • work experience section

2. Include top bioinformatics skills on your resume

Bioinformatics analysts need a mix of technical and soft skills. Technical skills are hard skills (skills learned through training) specific to STEM fields. Soft skills are those tied to your personality that govern how you interact with others and work in general.

Computational biologists need hard skills like:

  • command line environment
  • scripting programming languages of various levels (e.g., Python, Perl, Java, C++)
  • implementation and modification of existing algorithms
  • statistical programming languages (e.g., R)
  • strong understanding of statistical principles
  • foundational understanding of biology and target company’s subfield (e.g., immunology, molecular biology, virology, evolutionary biology)
  • AI and machine learning
  • good data handling and programming practices (e.g., safe storage, version control, documentation)
  • data generation, searching, and cleaning
  • database management
  • multivariate data workflows (e.g., raw sequencing counts to differential analysis)
  • data visualization

Also, putting the following general science skills on your resume will show employers that you don’t just run pipelines, but understand what questions you want to answer, what outputs you expect, and where pitfalls can arise:

  • data quality assessment
  • ability to form and test hypotheses
  • ability to spot confounding variables
  • ability to run sanity checks based on biology principles

If you have laboratory experience, especially with research technologies that generate the data you’ll be analyzing (e.g., NGS library preparation and sequencing), add it on your resume to make yourself a more attractive candidate.

Because bioinformaticians work in tandem with experimental biologists, good bioinformaticians also need soft skills such as:

  • interpersonal skills
  • teamwork skills
  • written and verbal communication skills
  • problem-solving skills
  • time management skills
  • organizational skills

For more general resume writing advice, check out our other science resume examples.

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Average bioinformatics salaries in the US

After you’ve written your resume, make sure you use it to apply for jobs within a fair salary range.

The following table includes information from the US Bureau of Labor Statistics’ latest Occupational Employment and Wage Statistics report for 2025. Here are the ten states with the highest salaries for biological scientists, as well as the national average for your reference when applying for work.

Top 10 states by average biological scientist salary

StateSalary / Year
Connecticut$125,370
California$121,000
Maryland$120,120
New York$110,640
Massachusetts$110,270
District of Columbia$108,570
New Jersey$106,340
Rhode Island$103,850
Washington$102,690
North Carolina$102,330
National Average$100,440
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Headshot of Conrad Benz
Written by

Conrad Benz

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Conrad Benz is a Content Manager and Hiring Manager at Resume Genius. With nearly a decade of experience as a career services professional, Conrad is passionate about helping people navigate the job search process and find fulfilling work. You can find Conrad’s career insights in publications like Typsy, Resume Library, and more. Conrad graduated with a B.A. in International Relations from Goucher College in Maryland and currently lives in Taipei, Taiwan, where he helps ensure every article on Resume Genius provides job seekers with the information they need to succeed. If you want to reach Conrad for a quote or media-related inquiry, you can contact him at [conrad] @ [resumegenius.com].

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