Senior Clinical Data Scientist
$160,000–$180,000 year
On-siteSan Francisco, California, United States
Job Summary
Transform clinical trial, observational, and electronic health record data into high-quality, well-structured datasets tailored for modeling and downstream applications. Evaluate data quality, bias, and limitations while proactively proposing mitigation strategies, and analyze longitudinal clinical datasets across multiple disease areas to understand outcome measures and biomarkers. Collaborate with cross-functional teams of data scientists, machine learning engineers, and clinicians to design robust data products grounded in sound organization and domain knowledge. Communicate technical findings and data characteristics clearly to internal partners and external collaborators in forward-deployed, client-facing settings. This role spans multiple disease areas and requires strong software practices and careful data curation to support Unlearn's mission of using AI to transform clinical development.
Required Qualifications
- BS or advanced degree in Bioinformatics, Computer Science, Psychology, Public Health, or related discipline
- 5+ years of experience wrangling data from disparate sources, data cleaning, and harmonizing datasets for analysis
- Experience working with complex or nuanced datasets
- Fluency in Python and its essential data science tools (numpy, pandas)
- Demonstrated experience in collaborative software development
- Experience with clinical datasets in applied machine learning applications
- Experience working in multidisciplinary teams that include scientists, engineers, and product management
- Prior experience in forward-deployed, client-facing settings
- Experience in clinical/healthcare data
- Experience with regulatory-facing clinical data standards (e.g., CDISC, ADaM, SDTM)
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