RWE Technical Analyst

Role Overview The Observational and Real-World Evidence (CORE) Real-World Data Analytics and Innovation (RDAI) team is seeking a Real-World Data (RWD) Technical Analyst to support real-world evidence generation and oncology outcomes research. This role will work with epidemiologists, biostatisticians, and scientists to conduct analyses using real-world data sources (claims, EHR/EMR, registries) and help develop advanced analytics tools and methodologies that accelerate observational research. Key Responsibilities • Conduct feasibility analyses using internal real-world datasets (claims, EHR/EMR) to support oncology outcomes research. • Execute end-to-end study analyses using platforms such as RStudio and SAS Studio. • Support development and implementation of analytics methods and tools to address confounding in observational healthcare data. • Perform targeted literature reviews to support study design and methodology. • Develop and maintain programming documentation, code specifications, and version control. • Generate analytic outputs and reports supporting real-world evidence studies. • Collaborate with cross-functional scientists to translate research questions into reproducible analytic workflows. • Required Skills & Experience • Experience working with real-world healthcare data (claims, EHR/EMR, registries). • Strong understanding of epidemiologic or statistical methods for observational research. • Proficiency in R, SAS, and SQL (Python a plus). • Experience with R ecosystem tools (RStudio Workbench, RStudio Connect, RShiny). • Familiarity with survival analysis methods and packages (e.g., survival). • Experience working with databases (e.g., Redshift, MySQL). • Experience with version control tools such as Git. • Strong documentation, communication, and collaboration skills. • Experience supporting life sciences or pharmaceutical research environments.