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.
Clinical AI at Scale: Why Trust Matters More Than Speed
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has third author: false, (SizeLimitingPyMap: {main={hs_id=219402396746, hs_child_table_id=0, hs_updated_at=1787057935787, hs_published_at=1787058200404, description=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., avatar=Image{width=1024,height=1536,url='https://5014803.fs1.hubspotusercontent-na1.net/hubfs/5014803/Zulfat%20Headshot.jpg',altText='Zulfat Headshot',fileId=219402357006}, lastname=Kapadia, hs_initial_published_at=1786648737451, hs_created_by_user_id=65712240, hs_created_at=1786648684030, hs_is_edited=false, hs_deleted_at=0, name=Zulfat, job=Statistical Programmer, slug=zulfat-kapadia, hs_updated_by_user_id=65712240}, second={hs_id=219402396744, hs_child_table_id=0, hs_updated_at=1786648683717, hs_published_at=1787058200404, description=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., avatar=Image{width=1024,height=1536,url='https://5014803.fs1.hubspotusercontent-na1.net/hubfs/5014803/Shakila%20J%20Headshot.png',altText='Shakila J Headshot',fileId=219402114740}, lastname=Jagadeesan , hs_initial_published_at=1786648737451, hs_created_by_user_id=65712240, hs_created_at=1786648634345, hs_is_edited=false, hs_deleted_at=0, name=Shakila, job=Principal Statistical Programmer , slug=Shakila-Jagadeesan, hs_updated_by_user_id=65712240}, third={hs_id=219402097154, hs_child_table_id=0, hs_updated_at=1786648633237, hs_published_at=1787058200404, description=As Senior Manager of Statistical Programming, Sugumaran brings a wealth of experience to his role at Precision for Medicine, since March 2021. Prior to Precision for Medicine, he was associated with ICON Clinical Research for over 10 years across various roles in statistical programming. He has been actively involved in leading large and complex submissions for a diverse client base including large biopharma, biotech, and CROs. In addition to building his expertise in statistical programming, data analytics, and data visualization, he is deeply passionate about developing talent and cutting-edge software solutions. He is also actively involved with several social causes and CSR activities. Sugumaran holds an MBA in Pharmaceutical Management and a Master's in Bioinformatics. He is also currently pursuing a PhD in Bioinformatics., avatar=Image{width=1024,height=1536,url='https://5014803.fs1.hubspotusercontent-na1.net/hubfs/5014803/Sugumaran%20headshot.png',altText='Sugumaran headshot',fileId=219402130472}, lastname=Muthuraj, hs_initial_published_at=1786648737451, hs_created_by_user_id=65712240, hs_created_at=1786647962706, hs_is_edited=false, hs_deleted_at=0, name=Sugumaran, job=Senior Manager, Statistical Programming , slug=Sugumaran-Muthuraj, hs_updated_by_user_id=65712240}})
