Scientific Data Analyst
Core
Design, build, and validate end-to-end, traceable evidence pipelines for clinical trials by integrating clinical science with modern data methods and AI/ML.
Role type
Senior IC scientific data analyst (clinical trials)
Builds
End-to-end evidence pipelines, reusable analytical packages, and automation frameworks for clinical data analyses
Domain
Biopharma / Clinical Trials / Data Science
Deliverable
production ML models | product features
Required skills
Python, R, data manipulation, data visualization, reproducible workflows, version control (Git), modular programming, AI/ML integration, statistical analysis (SDTM, ADaM)
Preferred skills
Healthcare/life sciences domain knowledge, open-source contributions, Kaggle/hackathon experience
Technologies
Python, R, Git, LLMs, Posit/RStudio ecosystem
Responsibilities
Perform exploratory and confirmatory analyses on clinical trial datasets; drive transition from SAS to modern open-source languages; leverage AI/ML tools to augment statistical programming; develop and maintain innovative analytical tools; collaborate with biostatisticians to translate SAPs into robust code; monitor and evaluate emerging AI/ML tools and industry trends
Seniority
Senior, hands-on IC
