Senior Statistical Geneticist
BridgeBio Pharma
This listing was originally posted on BridgeBio Pharma's careers page. Formulate is an equal opportunity job aggregator and is not involved in the hiring process. Where salary information is estimated, it is derived from BLS industry benchmarks and may differ from actual compensation.
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When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on
In 2015, we pioneered a “moneyball for biotech” approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible.
Together we define white space, push boundaries, and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask "why not?" and help reengineer the future of biopharma. At BridgeBio, we value curiosity and experimentation—including the ethical & thoughtful use of AI to improve clarity, speed, and quality of work.
What You'll Do
You will lead statistical genetics analyses of primarily population-scale genomics data to inform decisions about new business opportunities and advance internal development programs. Working independently in a dynamic, data-driven environment, you will leverage methods from multiple disciplines, including statistical inference, machine learning, and simulation frameworks, to extract insights and translate them into actionable recommendations. You will also contribute to building and maintaining the computational tools and infrastructure that enable streamlined, reproducible analyses across the team.
Responsibilities
- 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
Where You'll Work
This is a U.S.-based remote role with periodic travel (quarterly or as needed) to BridgeBio’s San Francisco office or conference locations.
Who You Are
Required:
- 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.
Preferred
- Experience inferring disease incidence and prevalence from genetics data
- Familiarity with large-scale human genomics databases (including but not limited to gnomAD, GTEx, 1000 Genomes, and TOPMed). Hands-on experience is strongly preferred
- Experience supporting target validation and/or biomarker discovery efforts in a pharmaceutical or biotechnology setting.
- Familiarity with multi-omics data types (e.g., transcriptomics, proteomics, epigenomics, chromatin accessibility); hands-on experience preferred.
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As a global company, our comprehensive benefits may vary based on location. We have high expectations for our team members. We make sure those working hard for patients are rewarded and cared for in return.
For Full-Time U.S Based Roles:
Financial & Rewards
Health & Well-Being
Skill Development & Career Paths:
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