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Zulfat Kapadia
Zulfat Kapadia is a Statistical Programmer with a scientist's heart and a programmer's precision, bringing over 11 years of experience in clinical data analytics. She currently works as a Statistical Programmer at Precision for Medicine, focusing on clinical data transformations and safety analytics. She is a SAS-certified Statistical Programmer with strong expertise in CDISC standards (SDTM and ADaM), turning raw clinical data into clean, submission-ready datasets and TLFs (Tables, Listings, and Figures). Her journey began with an M.Sc. in Microbiology from Gujarat University, followed by years as a Research Associate, where she worked hands-on with method development, validation, and LC-MS/MS analysis in GLP-regulated labs, including navigating regulatory audits. She later moved into SAS programming at Cognizant, building the technical foundation for her current specialization. A resourceful team player, she continues expanding her expertise across clinical and pharmaceutical domain.
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Read: Clinical AI at Scale: Why Trust Matters More Than Speed
Clinical AI at Scale: Why Trust Matters More Than Speed
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