Statistical/Population Geneticist — Immunology Research

Role: Senior scientist in Immunology Informatics focusing on integrating human genetics into autoimmune disease drug discovery and development. Responsibilities: lead genetic evidence reviews of immunology drug targets utilizing GWAS, sequencing, and rare variant data; apply Mendelian randomization and causal inference methods to validate target causality; interpret large genetic datasets; collaborate with external partners; translate complex genetic findings into actionable insights for target prioritization and strategy. Requirements: Ph.D. in statistical genetics, population genetics, epidemiology, biostatistics, or related field; extensive experience with large-scale genetic datasets, Mendelian randomization, and data interpretation; proficiency in R, Git, and genetic analysis tools. Preferred: experience with genomics databases (UK Biobank, AllofUs), fine-mapping, colocalization, immunology genetic research, multi-omics integration, and pharma R&D workflows. High-Value: focus on autoimmune diseases (rheumatology, gastroenterology, dermatology); target validation; causal inference methodologies; external collaborations. Work setup: Locations in Indy or Boston, with potential flexibility.