Sr. Biological Data Scientist

Mavericks Wanted

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

The Computational Genetics team is seeking a full-time Data Scientist who will focus on extracting insights from primarily population genomics 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 be involved in building and maintaining computational tools and infrastructure for streamlined and reproducible analyses.  

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 decision-making
• Derive insights through analysis of diverse data sources, including claims data, clinical trial information, business metrics, and drug development pipeline data
• 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 that will require quarterly, or as needed visits to our San Francisco Office.

Who You Are

• PhD in Statistical Genetics, Human Genetics, Computational Biology, or related disciplines with 3+ 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
• Proficiency in the Python programing language
• Extensive experience with QC, analysis, and interpretation of human genetics data (single variant and gene-based association analysis using WES/WGS/array genotyping 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 working in Unix/Linux and cloud-based environments (e.g., AWS), with the ability to query and manipulate data from relational databases (e.g., SQL, Postgres) 
• Working knowledge of version control using Git, including collaborative workflows such as branching, pull/merge requests, and code review
• 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-review journals and/or presentations at conferences
• You have demonstrated curiosity and adaptability in adopting AI-powered tools and technologies

Rewarding Those Who Make the Mission Possible

We have high expectations for our team members. We make sure those worki