Summary
Xuechen Wang is a senior statistician with a decade of quantitative experience across oncology drug discovery, biomedical informatics, public health and economic data analysis. Currently at Johnson & Johnson Innovative Medicine, she partners with scientists on in vitro/in vivo analyses, dose–response and single-cell workflows while building automation tools that accelerate research and train collaborators. Her background blends a PhD in Biostatistics with hands-on work on large EHR and proteomics datasets, grant-ready study design, and novel assay/synergy methods. SAS Certified and fluent in R, SAS, Matlab and SQL, she moves smoothly between high-dimensional biomarker discovery and pragmatic reporting for translational teams. Less obvious: she has led pilot behavioral-genetic prevention studies and implemented reproducible apps that turn complex statistical pipelines into scientist-facing tools.
10 years of coding experience
8 years of employment as a software developer
Master's degree Applied Statistics, Master's degree Applied Statistics at Jinan University
Master's degree Biostatistics, Master's degree Biostatistics at Georgetown University
Bachelor's degree Statistics, Bachelor's degree Statistics at Zhongnan University of Economics and Law
The University of Utah
Chinese, English