• Support project teams in the design, development, and delivery of RWD solutions across multiple databases. • Manage the inflow of diverse healthcare data sources and ensure data quality. • Develop technical specifications and transform data into a common data model. • Publish validated datasets for enterprise-wide use. • Provide reports, presentations, and technical explanations to epidemiologists, analysts, and programmers. • Communicate with data vendors and ensure accountability for data quality. • Help ensure quality standards and evaluate new methodologies. • Perform SQL querying, transformation, and quality control. • Apply SAS, Python, and programming tools to support analytical workflows. • Work with real-world healthcare datasets (Optum, PharMetrics, Flatiron, registry data). • Support OMOP data model conversions. • Leverage AI tools such as Databricks Genie and MS Copilot. • Work independently or as part of a team.