Senior Data Strategy & Analytics Specialist
Core
Designing and executing end-to-end data strategies and complex analytics using multi-modal real-world and clinical trial data to enable decision-making, asset strategy, and insight generation for drug development.
Role type
Senior IC data strategy & analytics specialist (healthcare/biopharma)
Builds
Reproducible analytical pipelines, cohort definitions, analysis-ready datasets, and data-driven solutions for regulatory filings and medical decisions
Domain
Biopharmaceuticals / Real-World Evidence (RWE) / Clinical Data Strategy
Required skills
R, Python, SQL, cohort extraction, data transformation, metadata management, data standardization, data mapping, statistical analysis, data harmonization, data lineage documentation, AI coding tools adoption
Preferred skills
Cardiovascular/renal/metabolic domain expertise, observational study designs, confounding adjustment, survival analysis, OMOP/CDISC standards, medical coding ontologies, CI/CD, containerized environments
Technologies
R, Python, SQL, Git/GitHub, OMOP, CDISC, ICD-10, SNOMED CT, RxNorm, LOINC, CPT, HCPCS, Claude Code, GitHub Copilot
Responsibilities
Design and execute advanced cohort extractions and complex data transformations; Lead translation of scientific questions into robust cohort definitions and analysis-ready datasets; Champion coding standards, version control, and automated testing for reproducible pipelines; Synthesize analytical outputs to inform regulatory filings and asset strategy; Act as a strategic partner in early study framing and protocol development; Establish reusable code libraries and mentor junior team members; Lead data harmonization and integration efforts using healthcare common data models; Analyze data architectures and oversee data lineage documentation; Champion safe adoption of AI coding tools to accelerate workflows
Seniority
Senior, hands-on IC with mentorship responsibilities
