BridgeBio is a biopharmaceutical company founded to discover, create, test, and deliver transformative medicines to treat patients who suffer from genetic diseases and cancers with clear genetic drivers. We bridge the gap between remarkable advancements in genetic science in academic institutions and the delivery of meaningful medicines to patients. Founded in 2015, the company has built a portfolio of 20+ drug development programs ranging from preclinical to late-stage development in multiple therapeutic areas including genetic dermatology, precision oncology, cardiology, endocrinology, neurology, pulmonology, and renal disease, with two approved drugs.
Our focus on scientific excellence and rapid execution aim to translate today’s discoveries into tomorrow’s medicines. We have U.S. offices in San Francisco, Palo Alto, and Raleigh, with small satellites in other parts of the country. We also have international offices in Montreal, Canada, and Zurich, Switzerland, and are expanding across Europe.
The Computational Genetics team is seeking a full-time Associate Statistical Geneticist/Computational Biologist who will focus on extracting insights from a diverse set of data. The team provides data driven insights to make critical decisions for pursuing new opportunities and advancing internal development projects. The role involves leveraging methods from multiple disciplines including computational genetics, statistical inference, machine learning, and simulation frameworks. This position will also build and maintain computational tools and infrastructure for streamlined and reproducible analyses.
Responsibilities
- Design, execute, and interpret genetics studies using diverse quantitative and binary traits from large-scale cohorts to drive the development of internal programs and external opportunities through asset acquisition.
- Integrative analysis of genetic and EHR data to support the discovery and validation of targets/biomarkers for clinical development.
- Communication of discoveries to internal teams with a variety of backgrounds (including but not limited to biologists, statisticians, physicians, and specialists in business development & asset acquisition) and to the broader scientific community through presentations and publications.
- Stay at the leading edge of human genetics (state-of-the-art algorithms/methods/tools and data resources) and be able to discuss these new developments with both experts and non-experts.
No matter your role at BridgeBio, successful team members are:
- Patient Champions, who put patients first and uphold strict ethical standards.
- Entrepreneurial Operators, who drive toward practical solutions and have an ownership mindset.
- Truth Seekers, who are detailed, rational, and humble problem solvers.
- Individuals Who Inspire Excellence in themselves and those around them.
- High-quality executors, who execute against goals and milestones with quality, precision, and speed.
Education, Experience & Skills Requirements
- PhD in Statistical Genetics, Human Genetics, Computational Biology, or related disciplines with 0-2 years of industry or postdoctoral experience.
- Extensive experience with QC, analysis, and interpretation of human genetics data (single variant and gene-based association analysis using WES/WGS/array genotyping data).
- Basic understanding of the architecture and analytics of EHR data from the UK Biobank or other resources (e.g., All of Us, Genomics England). Hands-on experience is strongly preferred.
- Familiarity with databases that house genomics data (including but not limited to UK Biobank, All of Us, Genomics England, gnomAD, 1000 Genomes, and TOPMed). Hands-on experience is strongly preferred.
- Proficiency in at least one major programming language (ideally Python or R).
- Working knowledge of Unix/Linux and cloud computing (AWS) environment.
- Outstanding written and verbal communication skills in conveying analysis results to both experts and non-experts in the field.
- Proven record of success by publications in peer-reviewed journals and/or conference presentations.
Preferred
- Experience with population stratification, Mendelian randomization, polygenic risk score (PRS) analysis, and/or gene-environment interaction analysis is strongly preferred.
- Experience with biomarker discovery.
- Experience in rare disease research.
- Basic understanding of multi-omics data (transcriptomic, proteomic, epigenomic, chromatin accessibility, etc). Hands-on experience is strongly preferred.
- Experience with analysis of imaging data (e.g., MRI, IHC).
- Knowledge of relational databases (SQL, Postgres, etc.) and experience extracting information from such databases.
- Version control with git, which includes using branches locally, setting up and managing remote repositories, collaborating on a remote repository, working with protected branches, and submitting and resolving merge requests.
What We Offer
- Patient Days, where we are fortunate to hear directly from individuals living with the conditions we are seeking to impact throughout the year and learn how we can improve our efforts.
- A culture inspired by our values: put patients first, think independently, be radically transparent, every minute counts, and let the science speak.
- An unyielding commitment to always putting patients first. Learn more about how we do this here.
- A de-centralized model that enables our program teams to focus on advancing science and helping patients. Our affiliate structure is designed to eliminate bureaucracy and put decision-making power in the hands of those closest to the science.
- A place where you own the vision – both for your program and your own career path.
- A collaborative, fast-paced, data-driven environment where we inspire ourselves and each other to always perform at the top of our game.
- Access to learning and development resources to help you get in the best professional shape of your life.
- Robust and market-competitive compensation & benefits package (Base, Performance Bonus, Equity, health, welfare & retirement programs).
- Flexible PTO.
- Rapid career advancement for strong performers.
- Potential ability to work on multiple BridgeBio Pharma programs across multiple therapeutic areas over time.
- Commitment to Diversity, Equity & Inclusion.
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