Pu Huang
About Pu Huang
Pu Huang is a Principal Statistical Programmer at BeiGene in Shanghai with over a decade of experience in statistical programming and epidemiology.
Current Position at BeiGene
Pu Huang is a Principal Statistical Programmer at BeiGene, located in Shanghai. Having joined the company in September 2018, she brings a wealth of experience in statistical programming to the role. Her responsibilities likely include designing, implementing, and managing statistical programming projects to support clinical trials and biostatistical analyses.
Professional Experience at Pfizer
Before her tenure at BeiGene, Pu Huang worked as a Clinical Programmer at Pfizer for three years, from 2015 to 2018, in Shanghai. During her time at Pfizer, she contributed to various clinical programming projects. Her role likely involved collaborating with clinical teams to develop and maintain the programs necessary for data management and analysis in clinical trials.
Experience as an Epidemiologist
From 2011 to 2015, Pu Huang served as an Epidemiologist at the Shanghai Municipal Center for Disease Prevention and Control. Over these four years, she was involved in efforts to monitor, prevent, and control infectious diseases. Her work here would have entailed data collection, statistical analysis, and the implementation of public health strategies.
Educational Background in Preventive Medicine and International Economics
Pu Huang holds a dual Bachelor's degree from 复旦大学, where she studied Preventive Medicine (First) and International Economics and Trade (Second) from 2006 to 2011. This diverse educational background provided her with a solid foundation in both healthcare and economic principles. She furthered her education by earning a Master's in Public Health (MPH) from the same university, completing the program from 2015 to 2018.
Master's Degree in Public Health
Pu Huang completed her Master's Degree in Public Health (MPH) at 复旦大学 between 2015 and 2018. This advanced degree equipped her with specialized knowledge in public health, complementing her practical experience in epidemiology and clinical programming. Her educational qualifications have been pivotal in shaping her career in the fields of statistical programming and public health.