Gang Jia
About Gang Jia
Gang Jia is a Senior Director of Biostatistics at Roivant Sciences, where he has worked since 2021. He has extensive experience in biostatistics, having held various positions at Cleveland Clinic and Merck over a span of more than two decades.
Work at Roivant Sciences
Gang Jia has been serving as the Senior Director of Biostatistics at Roivant Sciences since 2021. In this role, he is responsible for overseeing biostatistical activities and contributing to the design and analysis of clinical trials. His work is pivotal in ensuring the integrity and accuracy of data that informs decision-making in drug development. Roivant Sciences is known for its innovative approach to biopharmaceutical development, and Jia's expertise in biostatistics supports the company's mission.
Previous Experience at Cleveland Clinic
Prior to his tenure at Roivant Sciences, Gang Jia worked at the Cleveland Clinic as a Senior Biostatistician from 1998 to 2005. During this seven-year period, he contributed to various research projects, applying statistical methods to clinical data. His role involved collaborating with clinical researchers to ensure robust statistical analysis, which is essential for deriving valid conclusions from clinical studies.
Career at Merck
Gang Jia had an extensive career at Merck, where he held multiple positions over a span of eight years. He started as a Senior Biometrician from 2005 to 2012, then progressed to Principal Scientist in Statistics from 2012 to 2015. Following this, he served as Director/Senior Principal Scientist from 2016 to 2021. In these roles, he was involved in statistical analysis and contributed to the development of various pharmaceutical products, enhancing the company's research capabilities.
Education and Expertise
Gang Jia earned his Ph.D. in Statistics from the University of Pittsburgh. His academic background provides a strong foundation for his work in biostatistics, equipping him with advanced statistical techniques and methodologies. This expertise is crucial for analyzing complex clinical data and supporting evidence-based decision-making in the pharmaceutical industry.