Jing Peng uses her expertise in Medicare and other public insurance programs to provide life sciences manufacturers, health plans, professional associations, and patient groups with data-driven analyses and advanced statistics support.
In recent projects, Jing has helped life sciences manufacturers analyze claims data in specific disease areas to identify coding and reimbursement barriers that limit access to medicines and to map patient journeys to help clients develop patient support programs tailored to mitigate access barriers affecting specific patient populations.
Before joining Avalere, Jing served as a data scientist at Cormac where she designed, developed, and implemented research methods and advanced data analytics techniques in support of the Centers for Medicare & Medicaid Services’ Post-Acute Care Quality Reporting Programs. She also served as a statistician with Integrity Management Services, applying her knowledge of Medicare and Medicaid policy, healthcare coding, and statistical analysis to identify potential waste, fraud, and abuse in the Medicare and Medicaid programs.
Jing holds an MS in statistics and a BS in economics from George Mason University, and a BA in international economics and trade from the Wuhan University of Technology. She is a member of the American Statistical Association.