Teams at Structure Therapeutics

Support participant recruitment and retention for clinical trials by designing and executing recruitment/retention plans, collaborating with sites/CROs/vendors, engaging advocacy groups, conducting market research on patient barriers, creating site and participant materials, and analyzing trial metrics to optimize enrollment and retention. Travel to sites and meetings (40-50% US-based).

Lead CADD/SBDD strategy for discovery programs, translate structural insights into testable design hypotheses, apply CADD methods (docking, MD, FEP+), partner with structural biology, medicinal chemistry, DMPK and platform teams, and mentor scientists to accelerate S-DMTA cycles.

The Principal Data Scientist will lead the development of AI-powered data science tools, collaborating with cross-functional teams to enhance clinical research and optimize trials. Responsibilities include designing scalable solutions, ensuring software reliability, and communicating insights effectively.