Manager, Statistical Genetics

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 >Salary Range (annually)