Zoe Liu is a Principal Statistical Programmer with 9+ years of expertise in real-world evidence analytics, clinical trial research, and healthcare data science, currently based in Minneapolis and working at Boston Scientific. She has a strong record designing and implementing scalable data pipelines and predictive models that integrate multi-source clinical and observational data to support monitoring and decision-making. Her background blends rigorous applied statistics (M.S., Columbia, 3.95 GPA) with practical programmatic leadership across academic and industry settings, including multiple roles at Boston Scientific and the University of Minnesota Medical School. Zoe’s work routinely turns complex, messy healthcare data into auditable, actionable insights for regulatory-quality studies, and she brings an uncommon mix of statistical depth and production-focused engineering to RWE projects.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Arts (B.A.), Foreign Language Teacher Education, Bachelor of Arts (B.A.), Foreign Language Teacher Education at East China Normal University
Master of Arts (M.A.), Foreign Language Teacher Education, 3.92, Master of Arts (M.A.), Foreign Language Teacher Education, 3.92 at New York University
Master of Science (M.S.), Applied Statistics, 3.95, Master of Science (M.S.), Applied Statistics, 3.95 at Columbia University in the City of New York
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