Weijia Mai is a Principal Biostatistician with eight years of experience bridging academic research and industry clinical trial design, currently based in East Hanover, NJ. Trained at Imperial College and Duke (PhD candidate in Biostatistics), she has translated rigorous methodological work into practice through internships at Bristol Myers Squibb and Eli Lilly and a research assistantship at Duke School of Medicine. Her expertise spans statistical model selection and trial methodology, with hands-on experience implementing model comparisons and stochastic models in Python. Known for moving seamlessly between theory and application, she recently transitioned into a leadership role at Novartis to scale biostatistical contributions across drug development programs. Colleagues describe her as analytically rigorous yet pragmatic, with a track record of turning complex statistical ideas into actionable study designs.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at Duke University
Master of Biostatistics, Biostatistics, Master of Biostatistics, Biostatistics at Duke University School of Medicine
Bachelor of Science - BS, Mathematics with Statistics, Bachelor of Science - BS, Mathematics with Statistics at Imperial College London
High School Diploma, High School/Secondary Diplomas and Certificates, High School Diploma, High School/Secondary Diplomas and Certificates at Shenzhen College of International Education
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