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Shakila Jagadeesan
As Principal Statistical Programmer, Shakila plays a key role in leading statistical programming activities for clinical development programs at Precision for Medicine. She has extensive experience managing study deliverables, supporting regulatory submissions, implementing CDISC standards, and collaborating with cross-functional teams to ensure high-quality and compliant clinical data outputs. Prior to joining Precision for Medicine, she held programming roles at ICON and Quintiles, where she contributed to global clinical trials across Oncology, Cardiovascular, Vaccine, and Diabetes therapeutic areas. She has led the development and validation of SDTM, ADaM, TLFs, define.xml, and submission-ready datasets for major health authorities including the FDA, PMDA, and EMEA. Beyond her expertise in SAS programming and clinical data standards, Shakila is passionate about process improvement, automation, and mentoring teams. She has recently expanded her capabilities in Data Science, gaining practical experience in Python, Machine Learning, R, and Tableau, and is keen on leveraging modern analytics and AI-driven approaches to enhance clinical research solutions.
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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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