Biological Data Scientist / Senior Biological Data Scientist
BridgeBio
4 hours ago
Remote friendly (United States)
United States
$205,000 - $230,000 USD yearly
Clinical Research and Development
Senior Data Scientist (Computational Genetics)
Responsibilities
- Design, execute, and interpret analyses of diverse quantitative and binary traits in large-scale population cohorts for internal research and external opportunity evaluation.
- Perform integrative analyses of human genetics and EHR data for target identification, biomarker discovery, and clinical development decision-making.
- Derive insights from diverse data sources including claims data, clinical trial information, business metrics, and drug development pipeline data.
- Collaborate with cross-functional stakeholders (biology, clinical, and business development) to translate analyses into actionable insights.
- Communicate results via internal presentations and written reports and contribute to external scientific publications and conferences.
Qualifications
- PhD in Statistical Genetics, Human Genetics, Computational Biology, or related field with 5+ years of industry experience.
- Hands-on experience with UK Biobank and All of Us, including understanding of data architecture and data types (include brief relevant project descriptions in resume).
- Proficiency in Python.
- Extensive experience with QC, analysis, and interpretation of human genetics data, including single-variant and gene-based association analysis using WES/WGS/array genotyping.
- Familiarity with large-scale human genomics databases (e.g., gnomAD, GTEx, 1000 Genomes, TOPMed); hands-on experience strongly preferred.
- Experience working in Unix/Linux and cloud environments (e.g., AWS); ability to query/manipulate relational databases (SQL, Postgres).
- Working knowledge of Git and collaborative workflows (branching, pull/merge requests, code review).
- Strong written and verbal communication skills.
- Record of success via peer-reviewed publications and/or conference presentations.
- Demonstrated curiosity and adaptability in adopting AI-powered tools and technologies.
Benefits (explicitly listed)
- Market-leading compensation; 401(k) with 100% match on first 3% & 50% on next 2%; employee stock purchase program; pre-tax commuter benefits; $2,500 referral award.
- 100% premiums covered for comprehensive health care; Spring Health mental health support (6 therapy + 6 coaching sessions); hybrid work model; unlimited flexible paid time off; paid parental leave; flex spending accounts; company-provided group term life & disability; subsidized lunch.
Application instructions
- Include brief descriptions of relevant projects in your resume.
Responsibilities
- Design, execute, and interpret analyses of diverse quantitative and binary traits in large-scale population cohorts for internal research and external opportunity evaluation.
- Perform integrative analyses of human genetics and EHR data for target identification, biomarker discovery, and clinical development decision-making.
- Derive insights from diverse data sources including claims data, clinical trial information, business metrics, and drug development pipeline data.
- Collaborate with cross-functional stakeholders (biology, clinical, and business development) to translate analyses into actionable insights.
- Communicate results via internal presentations and written reports and contribute to external scientific publications and conferences.
Qualifications
- PhD in Statistical Genetics, Human Genetics, Computational Biology, or related field with 5+ years of industry experience.
- Hands-on experience with UK Biobank and All of Us, including understanding of data architecture and data types (include brief relevant project descriptions in resume).
- Proficiency in Python.
- Extensive experience with QC, analysis, and interpretation of human genetics data, including single-variant and gene-based association analysis using WES/WGS/array genotyping.
- Familiarity with large-scale human genomics databases (e.g., gnomAD, GTEx, 1000 Genomes, TOPMed); hands-on experience strongly preferred.
- Experience working in Unix/Linux and cloud environments (e.g., AWS); ability to query/manipulate relational databases (SQL, Postgres).
- Working knowledge of Git and collaborative workflows (branching, pull/merge requests, code review).
- Strong written and verbal communication skills.
- Record of success via peer-reviewed publications and/or conference presentations.
- Demonstrated curiosity and adaptability in adopting AI-powered tools and technologies.
Benefits (explicitly listed)
- Market-leading compensation; 401(k) with 100% match on first 3% & 50% on next 2%; employee stock purchase program; pre-tax commuter benefits; $2,500 referral award.
- 100% premiums covered for comprehensive health care; Spring Health mental health support (6 therapy + 6 coaching sessions); hybrid work model; unlimited flexible paid time off; paid parental leave; flex spending accounts; company-provided group term life & disability; subsidized lunch.
Application instructions
- Include brief descriptions of relevant projects in your resume.