Pfizer

Research

Clinical Supply Process Optimization Tool

This year’s SCOPE team worked to create an AI-driven tool that identified opportunities to accelerate the delivery of life-changing treatments and enable data-informed rapid decision making, while limiting clinical supply process risks.

Research

Students posing in front of project poster at Summit

Faculty Advisor: Lynn Andrea Stein

Clinical Supply Study Complexity and Risk Assessment

Our project will review the manual complexity and risk assessment work in GCS, and recommend an automation framework by conducting data analysis and machine learning along with implementing a proof of concept using the framework. This will enable timely response to changes and aid in efficiently allocating GCS resources.

Research

Faculty Advisor: Lynn Andrea Stein

Pfizer Clinical Trial Assistant

The 2022-23 Pfizer SCOPE team built a prototype that augments the information search capabilities of Pfizer clinical research colleagues when responding to IP handling queries from clinical trial sites, thereby minimizing wait times for patients.

Research

Faculty Advisor: C. Jason Woodard