Dan Zheng
About Dan Zheng
Dan Zheng is a Senior Manager of Biostatistics with approximately three years of experience in a Contract Research Organization, currently working at Kite Pharma. He holds a PhD in Statistics from the University of Missouri-Columbia and has extensive experience in statistical modeling, Companion diagnostics development, and programming languages such as SAS, R, and Octave.
Current Role at Kite Pharma
Dan Zheng serves as the Senior Manager of Biostatistics at Kite Pharma, a position he has held since 2021. In this role, he is responsible for managing biostatistical aspects of clinical studies and collaborating with various functional groups. His work focuses on ensuring the statistical integrity of studies and contributing to the development of innovative therapies.
Previous Experience in Biostatistics
Prior to his current role, Dan Zheng worked at PPD as a Principal Biostatistician from 2018 to 2021. He also held positions at Novartis, where he progressed from Senior Biostatistician to Senior Principal Biostatistician between 2014 and 2018. His experience includes managing multiple studies and contributing to the development of statistical analysis plans and data specifications.
Educational Background
Dan Zheng earned a Doctor of Philosophy (PhD) in Statistics from the University of Missouri-Columbia, where he studied from 2009 to 2014. He also holds a Bachelor's degree in Environmental Science from Tianjin Normal University, completed from 2004 to 2008. His educational background provides a strong foundation for his expertise in biostatistics.
Internship Experience
Dan Zheng gained valuable experience through internships at the Missouri Department of Conservation and the FDA. He interned at the Missouri Department of Conservation for seven months in 2011 and at the FDA's Office of Biostatistics for two months in 2012. These roles contributed to his understanding of biostatistics in practical settings.
Technical Skills and Expertise
Dan Zheng possesses strong skills in statistical modeling and simulation. He is proficient in programming languages such as SAS, R, and Octave. His expertise includes developing Statistical Analysis Plans (SAP) and ADaM data set specifications, as well as conducting interim analyses using Bayesian methods.