Senior Bioinformatics Scientist Jobs
Senior Bioinformatics Scientist jobs are open across pharmaceuticals, genomics, biotech, and academic research, from mid-level to principal, with specializations in computational genomics, structural bioinformatics, and multi-omics data analysis. Find a role that fits from the openings below and apply directly.
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The Regeneron Genetics Center uses genetics and health data on millions of people to advance our understanding of human disease and guide Regeneron’s therapeutic programs. This individual contributor role is responsible for conducting analyses of large-scale human genetic and phenotypic datasets for the discovery and validation of new therapeutic targets at the Regeneron Genetics Center (RGC). Work draws on both in-house and public data resources, integrating genetic data with multi-omics datasets and applying state-of-the-art statistical methodologies across analytic and translational genetics. The role collaborates closely with pre-clinical and clinical development teams colleagues across Regeneron’s R&D functions.
When & where:
Location: Tarrytown, NY
Work model/flexibility: 4 days onsite
Discover your role:
Conduct genetic association analyses using large-scale human genetic data, including genome-wide association analysis (GWAS), exome-wide association analysis (EXWAS), rare variant analysis, Mendelian randomization, LD Score regression, polygenic risk score modeling, pleiotropy analysis, and meta-analysis.
Integrate genetic data with multi-omic datasets to support therapeutic target discovery and validation.
Develop and implement methods for data harmonization and normalization across in-house and public data resources.
Apply functional genomic data to prioritize variants and genes of interest.
Perform quality control on large-scale genetic and phenotypic datasets.
Identify and interrogate data-driven hypotheses as part of analytic and translational genetics work.
Design and independently execute analytic studies from conception to completion.
Collaborate with groups across Regeneron’s R&D functions, including pre-clinical and clinical development teams, to advance therapeutic programs.
This role requires:
PhD and 0 - 2 years of experience analyzing omics data and genetic association analyses using large-scale genetic data
Proficiency in multi-omic data integration for therapeutic target discovery
Experience developing and implementing data harmonization and normalization methods
Experience with genetic analysis approaches including GWAS, EXWAS, rare variant analysis, Mendelian randomization, LD Score regression, polygenic risk score modeling, pleiotropy analysis, meta-analysis, and use of functional data to prioritize variants and genes
Strong programming skills in languages such as Python, R, C/C++, Bash, and/or Julia.
Strong quantitative skills, including applied statistical techniques such as regression and classification, Bayesian inference, and hypothesis testing. Experience with analytic and visualization tools including Git/Github, Claude, Adobe, Docker
Experience working with immunologic datasets and/or experience with immunology is preferred
Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.
Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.
Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on‑site. Please speak with your recruiter and hiring manager for more information about on‑site expectations for your role and location.
As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.
For jobs in Canada: this posting is for an existing position.
Salary Range (annually)
The Regeneron Genetics Center uses genetics and health data on millions of people to advance our understanding of human disease and guide Regeneron’s therapeutic programs. This individual contributor role is responsible for conducting analyses of large-scale human genetic and phenotypic datasets for the discovery and validation of new therapeutic targets at the Regeneron Genetics Center (RGC). Work draws on both in-house and public data resources, integrating genetic data with multi-omics datasets and applying state-of-the-art statistical methodologies across analytic and translational genetics. The role collaborates closely with pre-clinical and clinical development teams colleagues across Regeneron’s R&D functions.
When & where:
Location: Tarrytown, NY
Work model/flexibility: 4 days onsite
Discover your role:
Conduct genetic association analyses using large-scale human genetic data, including genome-wide association analysis (GWAS), exome-wide association analysis (EXWAS), rare variant analysis, Mendelian randomization, LD Score regression, polygenic risk score modeling, pleiotropy analysis, and meta-analysis.
Integrate genetic data with multi-omic datasets to support therapeutic target discovery and validation.
Develop and implement methods for data harmonization and normalization across in-house and public data resources.
Apply functional genomic data to prioritize variants and genes of interest.
Perform quality control on large-scale genetic and phenotypic datasets.
Identify and interrogate data-driven hypotheses as part of analytic and translational genetics work.
Design and independently execute analytic studies from conception to completion.
Collaborate with groups across Regeneron’s R&D functions, including pre-clinical and clinical development teams, to advance therapeutic programs.
This role requires:
PhD and 0 - 2 years of experience analyzing omics data and genetic association analyses using large-scale genetic data
Proficiency in multi-omic data integration for therapeutic target discovery
Experience developing and implementing data harmonization and normalization methods
Experience with genetic analysis approaches including GWAS, EXWAS, rare variant analysis, Mendelian randomization, LD Score regression, polygenic risk score modeling, pleiotropy analysis, meta-analysis, and use of functional data to prioritize variants and genes
Strong programming skills in languages such as Python, R, C/C++, Bash, and/or Julia.
Strong quantitative skills, including applied statistical techniques such as regression and classification, Bayesian inference, and hypothesis testing. Experience with analytic and visualization tools including Git/Github, Claude, Adobe, Docker
Experience working with immunologic datasets and/or experience with immunology is preferred
Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.
Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.
Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on‑site. Please speak with your recruiter and hiring manager for more information about on‑site expectations for your role and location.
As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.
For jobs in Canada: this posting is for an existing position.
Salary Range (annually)
Senior Bioinformatics Scientist Jobs by Experience Level
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Who's Hiring
Top Industries Hiring
- Biotechnology & Pharmaceuticals
- Science & Research
- Healthcare & Medical Services
- Education
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in senior bioinformatics scientist jobs.
- PhD in bioinformatics, computational biology, genomics, or a closely related field
- Proficiency in Python and R for statistical analysis and pipeline development
- Experience with next-generation sequencing data analysis including RNA-seq, WGS, or scRNA-seq
- Hands-on use of workflow management systems such as Snakemake, Nextflow, or WDL
- Familiarity with cloud computing environments including AWS, Google Cloud, or Microsoft Azure
- Strong record of peer-reviewed publication or contributions to open-source bioinformatics tools
Tips for Your Senior Bioinformatics Scientist Job Search
Tailor your resume to pipeline specifics
Generic bioinformatics resumes lose reviewers fast. For each application, name the exact pipelines you built or maintained, the genome assemblers or alignment tools you used, and the scale of datasets you processed. Quantify compute time saved or variant calls improved.
Apply early to roles that fit
Migrate Mate lists senior bioinformatics scientist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Highlight reproducibility and documentation habits
Senior-level hiring panels care deeply about whether your analyses can be reproduced by the next scientist. Call out your use of workflow managers like Snakemake or Nextflow, containerization with Docker or Singularity, and version-controlled notebooks in your resume and cover letter.
Distinguish wet-lab familiarity from pure computation
Many senior roles sit at the interface of experimental and computational work. If you can interpret a sequencing QC report, design an experiment alongside bench scientists, or translate biological questions into algorithmic tasks, say so explicitly. Panels often screen for this bridge.
Prepare a technical take-home or code sample
Most senior bioinformatics scientist interviews include a coding or analysis exercise. Before your first screen, clean up a public GitHub repository or Jupyter notebook that demonstrates your end-to-end thinking on a real dataset, so you can share it on short notice.
Negotiate scope before discussing compensation
In senior bioinformatics roles, reporting structure, compute budget, and collaboration access vary enormously and affect your day-to-day output. Clarify what resources and autonomy the role actually carries before the offer stage so you negotiate from a clear picture of the position.
Senior Bioinformatics Scientist Jobs: Frequently Asked Questions
Which companies are hiring the most senior bioinformatics scientists?
The companies hiring the most senior bioinformatics scientists right now include GAP Solutions, St. Jude Children's Research Hospital, and Illumina, with the largest share of openings in California, Maryland, and New York, based on current listings on Migrate Mate as of September 2026. Pharmaceutical companies, genomics platforms, and large academic medical centers consistently drive the highest volume of postings.
How many senior bioinformatics scientist jobs are remote?
About 63% of senior bioinformatics scientist openings are fully remote or hybrid as of September 2026, making it one of the more flexible roles in the life sciences. Sub-specialties focused on computational pipeline development, machine learning model building, and data engineering tend to appear as remote most often, while roles tied to wet-lab collaboration or clinical data governance are more commonly on-site.
How do you become a senior bioinformatics scientist?
Most senior bioinformatics scientists start with a PhD in computational biology, bioinformatics, or genomics, followed by a postdoctoral fellowship or industry research role where they lead independent analyses. From there, building a portfolio of end-to-end pipeline work, contributing to publications, and demonstrating cross-functional collaboration with bench scientists positions candidates for senior individual-contributor or team-lead roles.
Can you get hired as a senior bioinformatics scientist without extensive experience?
A strong PhD plus postdoctoral or industry research experience is typically required for senior-level roles, but candidates coming from adjacent fields like computational chemistry, machine learning, or clinical data science can compete by demonstrating direct bioinformatics output. Open-source contributions, a clean public code portfolio, and domain-specific publications can offset gaps in formal job title history when applying to growth-stage biotech teams.
What does the senior bioinformatics scientist interview process look like?
The process typically starts with a recruiter screen, followed by a technical phone interview covering your pipeline architecture, tool choices, and statistical reasoning. A take-home analysis exercise or live coding session usually comes next, where you work through a real or simulated dataset. Final rounds involve presentations to the science team and conversations with cross-functional partners such as biologists, software engineers, or clinical researchers.
Where can I find and apply to senior bioinformatics scientist jobs?
You can find and apply to senior bioinformatics scientist jobs on Migrate Mate, which lists current openings from across the United States. Search the listings, find roles that match your background and research interests, and apply directly to each one. No intermediaries, no gatekeeping, just a straightforward path from opening to application.
See All 49 Senior Bioinformatics Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
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