Senior Scientist

BridgeBio Pharma

6d•$152,800 - $180,000•Remote

About The Position

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.

Requirements

PhD in Statistical Genetics, Human Genetics, Computational Biology, or related disciplines with 5+ years of industry experience.
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.

Nice To Haves

Experience with rare disease genetics and translational research is strongly 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.

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

Benefits

Market-leading compensation
401(k) with employer match
Employee Stock Purchase Program (ESPP)
Pre-tax commuter benefits (transit and parking)
Referral bonus for hired candidates
Subsidized lunch and parking on in-office days
100% employer-paid medical, dental, and vision premiums for you and your dependents
Health Savings Account (HSA) with annual employer contributions, plus Flexible Spending Accounts (FSA)
Fertility & family-forming benefits
Expanded mental health support (therapy and coaching resources)
Flexible, “take-what-you-need” paid time off and company-paid holidays
Comprehensive paid medical and parental leave to care for yourself and your family
Career pathing through regular feedback, continuous education and professional development programs via LinkedIn Learning, LifeLabs, & BetterUp Coaching