Senior Statistical Geneticist
BridgeBio
August 20, 2026
Remote friendly (United States)
United States
Clinical Research and Development
What You'll Do
- Lead statistical genetics analyses of primarily population-scale genomics data to inform new business opportunities and internal development programs.
- Apply methods from statistical inference, machine learning, and simulation frameworks to extract insights and provide actionable recommendations.
- Build and maintain computational tools and infrastructure to support streamlined, reproducible analyses.
Responsibilities
- Design, execute, and interpret analyses of quantitative and binary traits in large-scale population cohorts for internal research and external opportunity evaluation.
- Perform integrative analyses of human genetics and EHR data for target identification, biomarker discovery, and clinical development decisions.
- Collaborate with cross-functional stakeholders (biology, clinical, business development) to translate findings into actionable insights.
- Communicate results via internal presentations, written reports, and external publications/conferences.
Required Qualifications
- PhD in Statistical Genetics, Human Genetics, Computational Biology, or related field with 5+ years of industry experience; rare disease genetics and translational research strongly preferred.
- Hands-on experience with UK Biobank and All of Us (data architecture and data types); include brief relevant projects in resume.
- Extensive QC, analysis, and interpretation experience for human genetics data (single-variant and gene-based association using WES/WGS/array).
- Proficiency in Python; experience integrating AI-powered tools (e.g., Claude, Codex) into analytical workflows with appropriate validation.
Preferred Skills
- Infer disease incidence/prevalence from genetics data.
- Familiarity with gnomAD, GTEx, 1000 Genomes, TOPMed.
- Experience supporting target validation/biomarker discovery in pharma/biotech.
- Multi-omics experience (transcriptomics, proteomics, epigenomics, chromatin accessibility).
Where You'll Work
- U.S.-based remote; periodic travel (quarterly or as needed) to San Francisco office or conferences.
Compensation & Benefits (California)
- Salary range: $185,000–$230,000 USD.
- Market-leading compensation, 401(k) match, ESPP, commuter benefits, referral bonus, subsidized lunch/parking; employer-paid medical/dental/vision, HSA + FSA, fertility/family-forming benefits, mental health support, hybrid flexibility, paid time off/holidays, paid medical and parental leave.
- Lead statistical genetics analyses of primarily population-scale genomics data to inform new business opportunities and internal development programs.
- Apply methods from statistical inference, machine learning, and simulation frameworks to extract insights and provide actionable recommendations.
- Build and maintain computational tools and infrastructure to support streamlined, reproducible analyses.
Responsibilities
- Design, execute, and interpret analyses of quantitative and binary traits in large-scale population cohorts for internal research and external opportunity evaluation.
- Perform integrative analyses of human genetics and EHR data for target identification, biomarker discovery, and clinical development decisions.
- Collaborate with cross-functional stakeholders (biology, clinical, business development) to translate findings into actionable insights.
- Communicate results via internal presentations, written reports, and external publications/conferences.
Required Qualifications
- PhD in Statistical Genetics, Human Genetics, Computational Biology, or related field with 5+ years of industry experience; rare disease genetics and translational research strongly preferred.
- Hands-on experience with UK Biobank and All of Us (data architecture and data types); include brief relevant projects in resume.
- Extensive QC, analysis, and interpretation experience for human genetics data (single-variant and gene-based association using WES/WGS/array).
- Proficiency in Python; experience integrating AI-powered tools (e.g., Claude, Codex) into analytical workflows with appropriate validation.
Preferred Skills
- Infer disease incidence/prevalence from genetics data.
- Familiarity with gnomAD, GTEx, 1000 Genomes, TOPMed.
- Experience supporting target validation/biomarker discovery in pharma/biotech.
- Multi-omics experience (transcriptomics, proteomics, epigenomics, chromatin accessibility).
Where You'll Work
- U.S.-based remote; periodic travel (quarterly or as needed) to San Francisco office or conferences.
Compensation & Benefits (California)
- Salary range: $185,000–$230,000 USD.
- Market-leading compensation, 401(k) match, ESPP, commuter benefits, referral bonus, subsidized lunch/parking; employer-paid medical/dental/vision, HSA + FSA, fertility/family-forming benefits, mental health support, hybrid flexibility, paid time off/holidays, paid medical and parental leave.