Bioinformatics Jobs
Bioinformatics jobs are open across pharmaceutical companies, academic research institutions, biotech firms, and clinical diagnostics, at levels from research associate to principal scientist and director, with specializations in genomics, computational biology, and structural bioinformatics. Find a role that fits from the openings below and apply directly.
Find Bioinformatics JobsLooking for remote work? View remote bioinformatics jobs →Overview
Showing 4 of 132+ Bioinformatics jobs
Position Objective: The Bioinformatics Scientist will independently provide program coordination to satisfy the overall operational objectives of the National Institute on Environmental Health Sciences (NIEHS) within the National Institutes of Health.
Duties and Responsibilities:
- Develop code and pipelines to conduct analysis; document code for completeness and detail needed for reproducibility
- Perform literature reviews related to analytical methods as appropriate for study goals
- Test and evaluate alternative analytical tools to optimize analysis plans for computational speed, and appropriateness for the biological hypothesis
- Develop independent hypotheses for testing on data from the EPR cohort
- Work with staff to coordinate aspects of EPR data; provide project coordination and management support
- Advise and train other staff and trainees on statistical genetics approaches
- Work with staff on writing and reviewing manuscripts and on writing protocols; prepare figures and tables associated with publications
- Present and discuss summary data in EPR meetings and conferences; summarize and email results to collaborators; prepare PowerPoint slides and summaries for oral presentations
- Collect, analyze and interpret data; update and maintain detailed laboratory notebooks and databases
- Participate and collaborate in seminars, group lab meetings, and journal clubs; present results and findings for staff discussion
- Work with staff on projects requiring statistical analysis on data from the Environmental Polymorphisms Registry
- Develop and optimize approaches for genome-wide association studies on complex diseases on participant samples
- Work with staff to organize and harmonize data from the disparate data types collected in the EPR cohort
- Provide consultation and expert opinion on approaches for genome-wide association studies with multiple types of genetic variants: single nucleotide variants, copy number variants, structural variation
- Work products and documents related to statistical genetics and biostatistics analysis in the EPR; develop and optimize genome-wide association studies; organize and harmonize data from disparate data types
- Work products and documents related to developing code and pipelines to conduct analysis; document code for completeness and detail needed for reproducibility; perform literature reviews related to analytical methods
- Work products and documents related to testing and evaluating alternative analytical tools to optimize analysis plans; develop independent hypotheses for testing on data; coordinate aspects of EPR data; provide project coordination and management support
- Work products and documents related to writing and reviewing manuscripts and on writing protocols; prepare figures and tables; collect, analyze and interpret data; update and maintain notebooks and databases; participate and collaborate in seminars, group meetings, and journal clubs; present results and findings for staff discussion
- Work products and documents related to preparation of abstracts, talks and posters for local and national scientific meetings; ensure that final tables and figures are reviewed, raw data prepared, and documented for reproducibility
Basic Qualifications:
- Ph.D. in Genetics, Bioinformatics, or similar
- Skilled in R, Python, Shell, PERL, and SAS
- Extensive expertise in genome-wide association studies in complex trait analysis
Preferred Qualifications:
- Ability to communicate effectively, orally and in writing, with non-technical and technical staff
- Detail-oriented and possess strong organizational skills with the ability to prioritize multiple tasks and projects
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job, email us at recruiting@gapsi.com. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.
This position is contingent upon contract award.
Position Objective: The Bioinformatics Scientist will independently provide program coordination to satisfy the overall operational objectives of the National Institute on Environmental Health Sciences (NIEHS) within the National Institutes of Health.
Duties and Responsibilities:
- Develop code and pipelines to conduct analysis; document code for completeness and detail needed for reproducibility
- Perform literature reviews related to analytical methods as appropriate for study goals
- Test and evaluate alternative analytical tools to optimize analysis plans for computational speed, and appropriateness for the biological hypothesis
- Develop independent hypotheses for testing on data from the EPR cohort
- Work with staff to coordinate aspects of EPR data; provide project coordination and management support
- Advise and train other staff and trainees on statistical genetics approaches
- Work with staff on writing and reviewing manuscripts and on writing protocols; prepare figures and tables associated with publications
- Present and discuss summary data in EPR meetings and conferences; summarize and email results to collaborators; prepare PowerPoint slides and summaries for oral presentations
- Collect, analyze and interpret data; update and maintain detailed laboratory notebooks and databases
- Participate and collaborate in seminars, group lab meetings, and journal clubs; present results and findings for staff discussion
- Work with staff on projects requiring statistical analysis on data from the Environmental Polymorphisms Registry
- Develop and optimize approaches for genome-wide association studies on complex diseases on participant samples
- Work with staff to organize and harmonize data from the disparate data types collected in the EPR cohort
- Provide consultation and expert opinion on approaches for genome-wide association studies with multiple types of genetic variants: single nucleotide variants, copy number variants, structural variation
- Work products and documents related to statistical genetics and biostatistics analysis in the EPR; develop and optimize genome-wide association studies; organize and harmonize data from disparate data types
- Work products and documents related to developing code and pipelines to conduct analysis; document code for completeness and detail needed for reproducibility; perform literature reviews related to analytical methods
- Work products and documents related to testing and evaluating alternative analytical tools to optimize analysis plans; develop independent hypotheses for testing on data; coordinate aspects of EPR data; provide project coordination and management support
- Work products and documents related to writing and reviewing manuscripts and on writing protocols; prepare figures and tables; collect, analyze and interpret data; update and maintain notebooks and databases; participate and collaborate in seminars, group meetings, and journal clubs; present results and findings for staff discussion
- Work products and documents related to preparation of abstracts, talks and posters for local and national scientific meetings; ensure that final tables and figures are reviewed, raw data prepared, and documented for reproducibility
Basic Qualifications:
- Ph.D. in Genetics, Bioinformatics, or similar
- Skilled in R, Python, Shell, PERL, and SAS
- Extensive expertise in genome-wide association studies in complex trait analysis
Preferred Qualifications:
- Ability to communicate effectively, orally and in writing, with non-technical and technical staff
- Detail-oriented and possess strong organizational skills with the ability to prioritize multiple tasks and projects
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job, email us at recruiting@gapsi.com. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.
This position is contingent upon contract award.
Bioinformatics Jobs by Experience Level
Top Cities Hiring Bioinformaticss
Explore bioinformatics openings in the cities hiring most right now.
See All 132+ Bioinformatics Jobs
Find roles that match your experience and apply in just a few clicks.
Find Bioinformatics JobsBioinformatics Job Market
Who's Hiring
Top Industries Hiring
- Biotechnology & Pharmaceuticals14
- Education10
- Science & Research7
- Healthcare & Medical Services7
- Consulting & Professional Services3
What Employers Look For
The qualifications that appear most often in bioinformatics jobs.
- Proficiency in Python or R for biological data analysis and pipeline development
- Experience with next-generation sequencing data analysis and bioinformatics workflows
- Familiarity with version control systems such as Git and workflow managers like Snakemake or Nextflow
- Master's or PhD degree in bioinformatics, computational biology, or a related life sciences field
- Knowledge of statistical methods applied to genomics, proteomics, or transcriptomics datasets
- Experience working in Linux or Unix environments and with high-performance computing clusters
Tips for Your Bioinformatics Job Search
Tailor your resume to pipeline tools
Recruiters and applicant tracking systems in bioinformatics scan for specific tools like GATK, Snakemake, Nextflow, and Bioconductor. List the exact version-controlled pipelines you've built or maintained, not just the programming languages underneath them.
Showcase reproducible analysis on GitHub
A public repository with documented workflows, clear README files, and version history signals professional-grade work to hiring managers. Link it prominently on your resume and tailor pinned projects to match the domain of each role you're targeting.
Filter openings by sequencing modality
Bioinformatics roles differ sharply by data type: bulk RNA-seq, single-cell, long-read, metagenomics. Narrow your search to postings that match your hands-on experience so your application lands with the team that actually needs your specific analytical background.
Apply early to roles that fit
Migrate Mate lists bioinformatics openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a methods walkthrough for interviews
Bioinformatics interviews often include a live technical discussion where you walk through an analysis you've run. Practice explaining your QC decisions, parameter choices, and how you validated results, not just what the biological finding was.
Negotiate compute resources not just compensation
Before accepting an offer, ask about cloud computing budgets, HPC cluster access, and data storage allocations. Inadequate computational infrastructure limits what science you can do, and these details rarely appear in job postings but are negotiable at the offer stage.
Bioinformatics Jobs: Frequently Asked Questions
Which companies are hiring the most bioinformaticss?
The companies hiring the most bioinformaticss right now include LatchBio, Quest Diagnostics, and St. Jude Children's Research Hospital, with the largest share of openings in California, Texas, and Massachusetts, based on current listings on Migrate Mate as of September 2026. Pharmaceutical companies, clinical genomics labs, and large biotech firms consistently account for the majority of active postings.
How many bioinformatics jobs are remote?
About 63% of bioinformatics openings are fully remote or hybrid as of September 2026, reflecting the compute-heavy, laptop-friendly nature of much of the work. Roles focused on algorithm development, pipeline engineering, and data analysis tend to offer the most location flexibility, while positions requiring wet lab coordination or on-site HPC administration are more likely to be in-person.
How do you become a bioinformatics?
Start by building proficiency in Python or R alongside a working understanding of molecular biology fundamentals. Pursue coursework or a degree in bioinformatics, computational biology, or a related field, and complement it with hands-on projects analyzing real sequencing datasets. Contribute to open-source tools or post reproducible analyses publicly to demonstrate practical skills, then apply to research associate or junior analyst roles as entry points into the field.
How do you get hired in bioinformatics with little experience?
Focus on building a portfolio of publicly available analyses using open-access datasets from repositories like GEO or SRA, which hiring managers can review in lieu of professional references. Research assistant and bioinformatics core facility positions at universities often hire candidates who show strong coding fundamentals and biological curiosity even without extensive industry experience. Internships at biotech startups are another practical entry point.
What does the bioinformatics interview process look like?
Most bioinformatics hiring processes include an initial phone or video screen with a recruiter or hiring manager, followed by a technical interview where you walk through past analyses or solve a dataset problem. Later rounds typically involve a presentation of your prior work to the broader team and a discussion of your scientific reasoning and tool choices. Some employers add a take-home coding challenge focused on pipeline construction or statistical analysis.
Where can I find and apply to bioinformatics jobs?
You can find and apply to bioinformatics jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the available roles, find the ones that match your background and interests, and apply directly to each listing without leaving the platform.
See All 132+ Bioinformatics Jobs
Find roles that match your experience and apply in just a few clicks.
Find Bioinformatics Jobs