Xin Li
About Xin Li
Xin Li is the Associate Director of Biostatistics at Bristol Myers Squibb, with extensive experience in statistical modeling and programming, particularly in clinical trials and research investigations.
Current Role at Bristol Myers Squibb
Xin Li currently holds the position of Associate Director, Biostatistics at Bristol Myers Squibb. In this role, based in Princeton, New Jersey, Xin Li contributes to the biostatistical support and strategies needed to advance clinical trials and research programs. His work involves utilizing extensive expertise in statistical modeling and programming to ensure the integrity and accuracy of data analysis for various studies.
Previous Experience at Eli Lilly and Company
From 2014 to 2018, Xin Li worked as a Senior Statistician at Eli Lilly and Company in Indianapolis, Indiana. During this four-year tenure, he was involved in statistical analysis, model development, and the application of experimental design techniques. His role required the application of advanced statistical methods, including ANOVA, linear and logistic regression, and survival analysis, particularly in the context of clinical trials.
Academic Background and Research at University of Kentucky
Xin Li's academic journey includes a Master's degree in Statistics from the University of Kentucky, which he pursued from 2012 to 2014. Before this, he was a Research Associate at the same institution from 2007 to 2012. His research focus in this period encompassed various statistical methodologies applied to biostatistical investigations, preparing him for his subsequent roles in the pharmaceutical industry.
Educational Attainment at Nankai University
Xin Li achieved his Doctor of Philosophy (Ph.D.) in Biochemistry and Molecular Biology from Nankai University, where he studied from 2002 to 2007. Prior to this, he completed his Bachelor's degree in Biochemistry at Nankai University from 1998 to 2002. His rigorous academic background laid a strong foundation for his expertise in biostatistics and clinical trials.
Skills in Statistical Analysis and Programming
Xin Li specializes in various aspects of applied statistics, including ANOVA, linear/logistic/time series regression, experimental design, and survival analysis. His proficiency extends to performing safety and efficiency analysis critical for decision-making in clinical trials. Additionally, he is well-versed in statistical modeling and programming, with particular experience in CDISC SDTM and ADaM standards, and a thorough understanding of Oncology clinical trials.