Associate Manager, Statistical Genetics & Target Discovery

BioSpace; Village of Tarrytown (NY); On-site; USD 110,000 - 166,000; Full time

Job summary

Regeneron Genetics Center is seeking an individual contributor to analyze large-scale human genetic and phenotypic data for discovery and validation of new therapeutic targets. You will apply GWAS, EXWAS, rare variant analyses, Mendelian randomization, LD Score regression, and PRS modeling, integrating multi-omics data and collaborating with preclinical and clinical teams across Regeneron.

Strong programming in Python and R is required, with experience in Docker, Git, and data harmonization

Qualifications

• PhD required with 0–2 years of omics data experience.
• Proficiency in multi-omic data integration for therapeutic target discovery.
• Experience developing data harmonization and normalization methods.
• Experience with GWAS/EXWAS, Mendelian randomization, LD score regression, PRS, meta-analysis; use of functional data to prioritize variants/genes.

Responsibilities

• Conduct genetic association analyses (GWAS, EXWAS, rare variant analysis) on large-scale datasets.
• Integrate genetic data with multi-omic datasets to support target discovery/validation.
• Develop methods for data harmonization and normalization across data resources.
• Apply functional data to prioritize variants and genes of interest.
• Perform quality control on large datasets.
• Identify data-driven hypotheses and design analytic studies from conception to completion.
• Collaborate with Regeneron R&D groups to advance programs.

Skills

Python

R

C/C++

Bash

Julia

Education

PhD

Tools

Git/Github

Claude

Adobe

Docker

Job description

Regeneron Genetics Center is seeking an individual contributor to analyze large-scale human genetic and phenotypic data for discovery and validation of new therapeutic targets. You will apply GWAS, EXWAS, rare variant analyses, Mendelian randomization, LD Score regression, and PRS modeling, integrating multi-omics data and collaborating with preclinical and clinical teams across Regeneron.

Strong programming in Python and R is required, with experience in Docker, Git, and data harmonization