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.
In this role, a typical day might include the following:
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 might be for you if you have:
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
Ability to independently lead and manage research projects from conception to completion
Strong communication and collaboration skills; proven track record of effective work in interdisciplinary teams
Outstanding ability to summarize and present human genetic study results to diverse technical audiences, from statistical genetics specialists to biologists, drug designers, and clinicians
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
To be considered for this role, we require:
PhD with at least 3+ years of relevant experience
Expertise in genetic association analyses using large-scale genetic data
Proficiency in multi-omic data integration for therapeutic target discovery
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 have an inclusive culture that provides comprehensive benefits, which vary by location. In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels! For additional information about Regeneron benefits in the US, please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other countries’ specific benefits, please speak to your recruiter.
Please be advised that at Regeneron, we believe we are most successful and work best when we are together. For that reason, many of Regeneron’s roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about Regeneron’s on-site policy and expectations for your role and your location.
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, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business.
For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location.
Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.
Salary Range (annually)
Skills Required
- PhD in a relevant field
- 3+ years of experience in genetic association analyses
- Expertise in multi-omic data integration
- Experience with GWAS, EXWAS, and other genetic analysis methods
- Strong programming skills in Python, R, C/C++, Bash, or Julia
- Strong skills in applied statistical techniques
Regeneron Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Regeneron and has not been reviewed or approved by Regeneron.
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Healthcare Strength — Medical, dental, and vision coverage is positioned as comprehensive, with Regeneron prescription drugs covered at 100% for those enrolled in the medical plan. Mental health support is also emphasized through EAP access and tools like Talkspace and the Journey app.
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Equity Value & Accessibility — Stock grants are described as available to all employees, strengthening the overall total-rewards package beyond base pay. Long-term incentives and stock-related rewards are repeatedly framed as meaningful components of compensation.
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Parental & Family Support — Paid parental leave is paired with fertility/adoption assistance and childcare-related support such as discounts and nanny services. Additional family-oriented resources extend to elder care, pet care, and education support like college coaching and tutoring.
Regeneron Insights
What We Do
At Regeneron we believe that when the right idea finds the right team, powerful change is possible. As we work across our expanding global network to invent, develop and commercialize life-transforming medicines for people with serious diseases, we’re establishing new ways to think about science, manufacturing and commercialization. And new ways to think about health. Connect with us so we can learn more about you, and you can learn more about our biopharmaceutical medicines. And join us, as we build a future we believe in. Please visit www.regeneron.com/social-media-terms for information on how to engage with us on social media. An important note about privacy: Regeneron is committed to your privacy and will not ask for sensitive personal information such as social security number, date of birth or bank account details via email or social media.
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