Summary
Jacqueline Zhu is a Clinical Analytics Analyst with 11 years of experience combining biomedical engineering training and hands-on data engineering to turn large-scale clinical and claims datasets into actionable insights. A Georgia Tech MS candidate in Bioengineering with a strong computational neuroscience background, she has applied Python, SQL, SAS and cloud tools to build automated ETL pipelines, predictive models, and survival analyses for pharma and market access teams. At Janssen she bridged back-end ETL and front-end visualization work on RWE projects, and at Carelon she designs reports and interactive dashboards that support clinical research and operational decisions. Comfortable across Snowflake, Teradata, AWS, PowerBI and Tableau, she blends rigorous quantitative methods with practical reporting for stakeholders across clinical domains. Notably, her profile reflects a rare mix of neuroscience domain knowledge and production-grade data engineering skill useful for pharma and biotech analytics roles.
11 years of coding experience
Neurobiology and Behavior, Neurobiology and Behavior at Oxford College of Emory University
SHSID
Master of Science - MS Bioengineering and Biomedical Engineering, Master of Science - MS Bioengineering and Biomedical Engineering at Georgia Institute of Technology
Bachelor of Science - BS Neuroscience and Behavioral Biology; Physics, Bachelor of Science - BS Neuroscience and Behavioral Biology; Physics at Emory University