Manager,StatisticalGenetics

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 pr