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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 Compa
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