Jia He
About Jia He
Jia He is the Associate Director of Statistical Programming at BeiGene in New York, with extensive experience at Merck, Novartis, and Teva Pharmaceuticals.
Current Role at BeiGene
Jia He serves as the Associate Director of Statistical Programming at BeiGene in New York, New York, United States. Since January 2019, Jia has led statistical programming initiatives at the company, contributing to various key projects. Their role involves overseeing statistical programming operations and driving the development of robust statistical models and analyses.
Previous Experience at Merck
Before joining BeiGene, Jia He worked at Merck as an Associate Principal Scientist in Statistical Programming from 2017 to 2019. During their tenure in Rahway, New Jersey, Jia managed significant statistical programming projects that supported Merck’s research and development efforts. This role allowed Jia to apply advanced statistical programming skills to enhance the accuracy and efficacy of Merck’s data analysis.
Professional Journey at Novartis
Jia He spent nearly a decade at Novartis, where they advanced to the role of Principal Statistical Programmer. From 2008 to 2017, Jia contributed to numerous statistical programming projects, which were pivotal in supporting Novartis’s pharmaceutical research and development. This long-term engagement helped Jia gain extensive experience in statistical methodologies and industry practices.
Internship at Teva Pharmaceuticals
In 2008, Jia He gained early industry experience through a three-month internship at Teva Pharmaceuticals. This internship provided Jia with foundational knowledge in the field of statistical programming and an introduction to the pharmaceutical industry's operational standards.
Academic Background and Early Research Experience
Jia He pursued a Master’s degree at West Chester University of Pennsylvania from 2006 to 2008. During this period, Jia also worked as a Research Assistant from 2007 to 2008, contributing to academic research projects. This experience helped Jia develop skills in research methodologies and statistical analysis, forming a strong foundation for their subsequent professional career.