Gene Chen
About Gene Chen
Senior Manager, Statistical Programming at Bristol Myers Squibb
Gene Chen currently holds the position of Senior Manager, Statistical Programming at Bristol Myers Squibb in Brisbane, California, United States. In this role, Gene is responsible for overseeing statistical programming efforts, contributing to the development and analysis of clinical trials and other research initiatives. This position underscores his expertise and leadership within the field of statistical programming.
Previous Roles at Bristol Myers Squibb
Before becoming a Senior Manager, Gene Chen served as Manager, Statistical Programming for 10 months from 2021 to 2022, and as Senior Statistical Programmer from 2020 to 2022 for a duration of 2 years. These roles were also based in Brisbane, California. His progression within the company reflects his growing responsibilities and contributions to the organization.
Statistical Programming Experience at Gilead Sciences
Gene Chen's career at Gilead Sciences spanned four years, where he advanced from Statistical Programmer I to Statistical Programmer II. He began as a Statistical Programmer I from 2016 to 2019 in Foster City, CA, and was then promoted to Statistical Programmer II, a position he held from 2019 to 2020. His work at Gilead Sciences provided him with significant experience in handling complex statistical programming tasks in a leading biopharmaceutical company.
Educational Background in Microbiology and Public Health
Gene Chen holds a Master's Degree in Public Health with a focus in Biostatistics/Epidemiology from the University of Southern California, where he studied from 2014 to 2015. Additionally, he earned a Bachelor's Degree in Microbiology, General from the University of California, Davis, from 2009 to 2013. This strong educational foundation has equipped him with essential skills and knowledge applicable to his roles in statistical programming and biostatistics.
Early Career and Internships in Research
Gene Chen began his career as a Research and Evaluation Intern at APAIT Health Center in Los Angeles in 2015. He then worked on high-risk infant outcomes research at Children's Hospital Los Angeles (CHLA) from 2015 to 2016. These early roles in research and evaluation laid the foundation for his subsequent career in statistical programming and biostatistics, providing valuable experience in the healthcare and research industry.