Lead Data Scientist driving ML and data science initiatives for advertising technology at Disney. Collaborating with a team to enhance ad decisioning and user experience optimization with generative AI.
About the role
- Data Scientist focusing on extracting insights from population genomics data at BridgeBio Pharma. Leveraging various analytical methods to support research and development projects.
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
Requirements
- 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 programming 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
Benefits
- Market leading compensation
- 401K with 100% employer match on first 3% & 50% on the next 2%
- Employee stock purchase program
- Pre-tax commuter benefits
- Referral program with $2,500 award for hired referrals
- Comprehensive health care with 100% premiums covered - no cost to you and dependents
- Mental health support via Spring Health (6 therapy sessions & 6 coaching sessions)
- Hybrid work model - employees have the autonomy in where and how they do their work
- Unlimited flexible paid time off - take the time that you need
- Paid parental leave - 4 months for birthing parents & 2 months for non-birthing parents
- Flex spending accounts & company-provided group term life & disability
- Subsidized lunch via Forkable on days worked from our office
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