Associate Manager, Statistical Genetics (Applied Bioinformatics Scientist)

Regeneron; Village of Tarrytown (NY); On-site; USD 110,000 - 179,000; Full time

Job summary

Regeneron Genetics Center seeks an individual contributor to analyze large-scale genetic and phenotypic data for discovery and validation of new therapeutic targets. You will integrate genetic data with multi-omics, implement data harmonization, and apply state-of-the-art statistics across analytic genetics projects.

The role requires a PhD with early-career experience, strong programming (Python/R/C/C++/Bash/Julia) and familiarity with tools like Git, Docker, and Bayesian methods.

Qualifications

• PhD required with 0–2 years of omics data analysis experience.
• Strong background in statistical methods for large-scale genetic data.

Responsibilities

• Conduct genetic association analyses using GWAS, EXWAS, rare variant analyses, Mendelian randomization, and meta-analysis.
• Integrate genetic data with multi-omic datasets to support target discovery and validation.
• Develop data harmonization and normalization methods across in-house and public resources.
• Prioritize variants and genes using functional data and perform quality control on large datasets.
• Collaborate with Regeneron R&D teams to advance therapeutic programs.

Education

PhD in a relevant field

Tools

Python

R

C/C++

Bash

Julia

Git/GitHub

Docker

Job description

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

Salary Range (annually)

$109,900.00 - $179,300.00

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.