Bioinformatics Resume Example


Computational biologists use their programming expertise and science background to analyze big data in the areas of basic, translational, and clinical biology. Follow our bioinformatics resume example and writing tips to land a bioinformatics job in industry.
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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.
- 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
- 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
- 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
Bioinformatics Salary Data
California: $110,150
Maryland: $102,150
Massachusetts: $96,610
National Average: $91,100
This page includes information from O*NET Resource Center by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license.
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:

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:

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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