Hiring: Senior Statistical Geneticist Company: BridgeBio Location: United States Job Posted Time: 2026-09-16 22:47:34 Employment Type: Full-time / Remote Target Skills & Keywords : Accessibility, EHR, Machine Learning, Python About the job Experience: •5+ years of industry experience. Experience with rare disease genetics and translational research is strongly preferred. Required Skills: •Design, execute, and interpret analyses of diverse quantitative and binary traits in large-scale population cohorts to support internal research programs and external opportunity evaluation (e.g., new program opportunities and partnership diligence) •Perform integrative analyses of human genetics and EHR data to enable target identification, biomarker discovery, and clinical development decisions •Collaborate closely with cross-functional stakeholders, including biology, clinical, and business development teams, to translate analytical findings into actionable insights •Communicate results clearly and effectively through internal presentations, written reports, and contributions to external scientific publications and conferences •This is a U.S.-based remote role with periodic travel (quarterly or as needed) to BridgeBio’s San Francisco office or conference locations. Qualifications: •PhD in Statistical Genetics, Human Genetics, Computational Biology, or related disciplines with 5+ years of industry experience. Experience with rare disease genetics and translational research is strongly preferred. •Demonstrated hands-on experience working with UK Biobank and All of Us data, including a strong understanding of their data architecture and data types. Applicants must include brief descriptions of relevant projects in their resume •Extensive experience with QC, analysis, and interpretation of human genetics data (single-variant and gene-based association analyses using WES/WGS/array genotyping data) •Proficiency in Python and hands-on experience integrating AI-powered tools (e.g., Claude, Codex) into analytical workflows to improve productivity, reproducibility, and code quality across code generation, data analysis, and documentation, with appropriate validation of outputs. •Operational familiarity with large-scale human genomics databases (including but not limited to gnomAD, GTEx, 1000 Genomes, and TOPMed). Hands-on experience is strongly preferred •Operational familiarity with multi-omics data types (e.g., transcriptomics, proteomics, epigenomics, chromatin accessibility); hands-on experience preferred. Compensation: •$185,000 - $230,000 / year •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!