Sr Data Analyst I, RWE

Role overview This is a senior individual-contributor role on a Real-World Evidence (RWE) analytics team supporting biopharmaceutical clients across the drug development lifecycle. The position blends hands-on statistical programming with consultative client engagement, helping design observational studies, lead analysis plans, and translate secondary healthcare data into decision-ready evidence.

Responsibilities - Contribute to the design of RWE studies, including protocol authoring, statistical analysis plan (SAP) development, and supporting study documentation, independently for descriptive or treatment-pattern work. - Apply working knowledge of real-world data sources such as claims, electronic medical/health records, registries, omics, wearables, and patient-reported outcomes to guide study feasibility and methodology. - Execute advanced statistical analyses in SAS, R, Python, and/or SQL with attention to reproducibility, traceability, and data quality. - Build operational definitions, code lists, and analytical specifications aligned with study objectives and industry conventions. - Produce tables, figures, listings, study reports, manuscripts, and client-facing deliverables, including clear narrative interpretation of findings and limitations. - Manage programming timelines across concurrent projects, surface risks early, and support proposals and exploratory analyses when needed.

Requirements - Master's degree or higher in Biostatistics, Statistics, Epidemiology, Public Health, Health Economics, Bioinformatics, Computer Science, or a related quantitative discipline, or equivalent experience with supporting evidence. - At least three years of project-based RWE research using secondary healthcare data, with five years preferred. - At least two years of hands-on statistical programming in a consulting environment (five years preferred), with strong fluency in SAS or R considered mandatory. - Solid grasp of observational study design, bias and confounding control, and data governance considerations. - Strong written and verbal communication in English, including client-facing presentation experience. - Demonstrated ability to juggle multiple priorities, work independently, and deliver high-quality work under tight timelines.

Nice to have - A consulting mindset with the ability to convert analytical results into strategic recommendations and proactively flag risks to clients.