From quality systems
to clinical data systems.
My career has moved through pharmaceutical quality, clinical research operations and clinical data management. The common thread is structured evidence: designing processes that make complex information easier to trust, review and use.
Clinical operations taught me the trial. Data management taught me how to structure it.
I started in pharmaceutical quality and moved into clinical research before specializing in clinical data management. That path gave me a practical view of how protocol requirements become operational activities, how those activities become data, and how the data must remain traceable through review and database lock.
Today my work spans protocol and eCRF review, EDC build and UAT, live-study data review, query management, external-data and safety reconciliation, medical coding workflows, documentation and lock readiness.
I also build practical automation around recurring clinical-data problems using Python, VBA, SAS, R, Power BI and Excel. The goal is not automation for its own sake; it is to make deterministic work more repeatable while keeping clinical judgment and review visible.
Pharmaceutical Quality
Foundation in controlled processes, documentation and quality-focused work.
Clinical Research
Transition into clinical operations and study-data workflows.
Clinical Data Management
Database support, data review, reconciliation and lock activities across clinical studies.
Clinical Data Manager II
End-to-end study data-management leadership, EDC build/validation, standards, reconciliation and automation.