Interpret and analyze clinical and EHR datasets to develop standardized, interoperable data models. Map and harmonize clinical vocabularies and ontologies, query source systems, validate clinical accuracy with data scientists, document findings, support SQL/analytic programming, and ensure data integrity for analytics, trials, and regulatory-grade evidence.

Build and optimize high-throughput de-identification pipelines for large clinical datasets, execute QA, run and tune pipelines in health system cloud environments, reduce errors and costs, and collaborate with privacy and clinical informatics stakeholders.