Uzo Okeke
About Uzo Okeke
Uzo Okeke is a Clinical Data Manager with extensive experience in clinical trial development and pharmacoepidemiology. He has worked at various organizations, including MedStar Health and Emmes Corporation, and holds degrees in Pharmacy and Epidemiology.
Current Role at National Institutes of Health
Uzo Okeke serves as a Clinical Data Manager at the National Institutes of Health (NIH) in Bethesda, Maryland. In this role, which he has held since 2020, he is responsible for managing clinical data and ensuring the integrity of data collection processes. His work contributes to the advancement of medical research and supports various clinical trials conducted by the NIH.
Previous Experience at MedStar Health
Prior to his current position, Uzo Okeke worked as a Pharmacist at MedStar Health from 2014 to 2020 in the Baltimore, Maryland area. During his six years at MedStar Health, he gained valuable experience in patient care and medication management, which enhanced his understanding of clinical practices and patient outcomes.
Background in Data Management at Emmes Corporation
Uzo Okeke worked as a Data Manager and Protocol Monitor at Emmes Corporation from 2005 to 2007. In this role, he was involved in overseeing clinical trial protocols and managing data integrity, which provided him with a strong foundation in clinical trial operations and data management.
Education and Expertise in Epidemiology
Uzo Okeke earned a Master of Public Health (M.P.H.) degree in Epidemiology from Emory University, where he studied from 2002 to 2004. He also holds a Bachelor of Pharmacy (B. Pharm) degree from the University of Nigeria, Nsukka, obtained from 1993 to 1998. His educational background supports his expertise in clinical trial development and pharmacoepidemiology, focusing on the effects and uses of drugs in large populations.
Skills in Biostatistics and Clinical Research
Uzo Okeke possesses strong skills in biostatistics, which he applies to the analysis of biological data. His expertise in statistical principles enhances his ability to contribute to clinical research methodologies and improve the quality of data collected in clinical trials.