Prem Kumar Narasimhan
About Prem Kumar Narasimhan
Prem Kumar Narasimhan is an Associate Director at Bristol-Myers Squibb with over 20 years of experience in the pharmaceutical and biotechnology industry, specializing in data science, AI, machine learning, and deep learning.
Company
Prem Kumar Narasimhan is currently an Associate Director at Bristol-Myers Squibb. At Bristol-Myers Squibb, he plays a key role within the TBIO-DS KIM/TR&D Team, contributing to exploratory analysis on various high-profile projects such as PD1, CXCR4, HCV, FGF21, NIVO, HIV TT, and Lambda. His responsibilities also include improving technological capabilities within the company and enhancing efficiencies in systems like PAMS, Spotfire, and PKMS.
Title
Prem Kumar Narasimhan holds the title of Associate Director at Bristol-Myers Squibb. He leverages over two decades of experience in the pharmaceutical and biotechnology industry, specializing in data science, AI, machine learning, and deep learning.
Education and Expertise
Prem Kumar Narasimhan obtained his Master's degree in Statistics from Osmania University, where he studied from 1983 to 1985. He possesses extensive technical knowledge in statistics, SAS programming, and clinical and biomarker data management. His expertise spans across several significant therapeutic areas, including antiviral, oncology, immunology, and metabolic fields. His proficiency in various SAS tools and SQL bolsters his capability to handle complex data analysis tasks.
Background
With more than 20 years of experience in the pharmaceutical and biotechnology industry, Prem Kumar Narasimhan has developed a strong background in developing clinical data solutions and conducting exploratory data analyses. His experience with clinical protocol development, PK/PD analysis, and case report forms review is extensive. He has been actively involved in collaboration with CRO/Bio-statistics and other external programming service providers to ensure project success.
Achievements
Prem Kumar Narasimhan has made significant advancements in the field of data science and clinical data management. He developed Clinical Review Spotfire builds for GPVE-CSP/CR-integrated and CSP-integrated systems, utilized by PV scientists and Medical Safety Physicians. He prepared several NONMEM analysis data sets for pharmacometric analysis and designed SAP/RAP along with mockups and templates for various clinical studies. Additionally, he has expertise in epidemiology, outcomes research, and health economics, applying large medical and insurance databases in his projects.