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 .