Data Strategy & Analytics Specialist
Core
Design and execute data strategies and analyses to enable decision-making and insight generation across a therapeutic area or molecule portfolio using real-world and clinical data.
Role type
Data Strategy & Analytics Specialist
Builds
Reproducible analytical pipelines, analysis-ready datasets, and data-driven solutions for evidence generation.
Domain
Healthcare / Life Sciences / Real-World Data
Deliverable
production ML models | product features | dashboards & analysis
Required skills
R, Python, SQL, cohort definition, data transformations, data quality evaluation, terminology mapping, schema transformation, data lineage documentation, AI coding tools (LLMs)
Preferred skills
Descriptive statistics, epidemiological concepts, clinical terminologies (ICD, SNOMED CT, RxNorm), common data models (OMOP, CDISC), software engineering best practices (Git, unit testing)
Responsibilities
Execute data transformations and cohort extractions from real-world and clinical trial data; translate study requirements into analysis-ready datasets; summarize and visualize exploratory outputs; partner with study leads on protocol development and data feasibility; contribute code snippets and templates to internal repositories; identify RWD sources and perform data quality evaluations; collaborate on multi-modal data integration using common data models; document data structures and lineage.
Seniority
Mid-level, hands-on IC
