Xiang Guo
About Xiang Guo
Xiang Guo is the VP, Head of Statistics and Data Science at BeiGene in Beijing, with extensive experience in global pharmaceutical companies and regulatory requirements.
Title
Xiang Guo currently holds the position of Vice President, Head of Statistics and Data Science at BeiGene. He has held this role since September 2019. In this capacity, Xiang oversees statistical analysis and data science initiatives to support clinical research and development projects.
Professional Experience at BeiGene
Xiang Guo rejoined BeiGene in June 2017 as Executive Director, serving in this role until 2019, before being promoted to Vice President, Head of Statistics and Data Science. His responsibilities include managing statistical analysis for clinical trials and guiding data science strategies in Beijing.
Senior Roles at MSD
Before joining BeiGene, Xiang Guo worked at MSD (Merck) where he ascended to the role of Senior Director, Head of Statistics for the APAC region from 2015 to 2017. Prior to that, he served as Director of Biostatistics from 2013 to 2014, focusing on the strategic direction of biostatistics...
Career at Sanofi-Aventis
Xiang Guo built a solid foundation in biostatistics at Sanofi-Aventis. Between 2005 and 2012, he held various roles beginning as Principle Statistician in Bridgewater, NJ, progressing to Senior Biostatistics Manager in Beijing. His work there contributed to both U.S. and China R&D efforts.
Educational Background
Xiang Guo holds a Ph.D. in Statistics from North Carolina State University, completed in 2005. He earned his Master's degree in Statistics from the University of Cincinnati in 2002 and his Bachelor's degree in the same field from Peking University in 1997. His academic background lays the groundwork for his expertise in statistical methods and data analysis.
Experience with Regulatory Requirements
Xiang Guo has notable experience with regulatory requirements across multiple regions, including FDA, EMEA, PMDA, and NMPA. This experience ensures compliance and efficacy in clinical trial designs and data submissions on a global scale.