Paul Kumagai
About Paul Kumagai
Paul Kumagai is a Senior Manager of Statistical Programming at Kite Pharma, where he has worked since 2018. He has extensive experience in statistical programming, having held positions at Allergan, Gilead Sciences, and UnitedHealth Group.
Work at Kite Pharma
Paul Kumagai has been serving as the Senior Manager of Statistical Programming at Kite Pharma since 2018. He is based in Foster City, California. In this role, he oversees statistical programming activities, contributing to the development and analysis of clinical trial data. His expertise in statistical methodologies supports Kite Pharma's mission to advance innovative therapies.
Current Role at Gilead Sciences
In addition to his position at Kite Pharma, Paul Kumagai has been working at Gilead Sciences as a Manager of Statistical Programming since 2014. He has accumulated significant experience in this role, focusing on the statistical analysis of clinical data. His work at Gilead Sciences complements his responsibilities at Kite Pharma, enhancing his proficiency in the field.
Previous Experience at Allergan
Paul Kumagai worked at Allergan in various capacities from 2008 to 2014. Initially, he served as a Principal Statistical Programmer for four years, where he was responsible for programming and data analysis. He then advanced to the role of Manager of Statistical Programming from 2012 to 2014, further developing his skills in statistical methodologies and team leadership.
Early Career at UnitedHealth Group
Paul Kumagai began his career at UnitedHealth Group, where he held the position of Senior Statistical Programmer from 2004 to 2008. During his four years there, he gained foundational experience in statistical programming and data analysis, which set the stage for his subsequent roles in the pharmaceutical industry.
Education and Expertise
While specific educational details are not provided, Paul Kumagai's extensive experience in statistical programming across multiple organizations indicates a strong background in statistical methodologies and clinical data analysis. His roles have required a high level of expertise in programming languages and statistical software, essential for effective data management in clinical trials.