Remote Associate Statistical Geneticist

Summary

Join BridgeBio as a full-time Associate Statistical Geneticist/Computational Biologist to extract insights from diverse data sets and drive the development of internal programs and external opportunities.

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

Responsibilities

• Design, execute, and interpret genetics studies using diverse quantitative and binary traits from large-scale cohorts
• 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

Preferred Qualifications

• 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

Benefits

• 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
• Partnerships with leading institutions
• Commitment to Diversity, Equity & Inclusion