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You will oversee CRO activities, embed DMPK insights into AI-driven decision cycles, and connect preclinical data to clinical hypotheses, contributing to IND-enabling packages through cross-functional collaboration in a fast-paced environment.
DMPK & Modeling Lead within Takeda's AI-driven Discovery Automation & Robotics (DAR) unit, focusing on integrating DMPK, PK/PD, PBPK/QSP, and AI-enabled modeling to inform early drug discovery and clinical strategies for large molecules, including biologics.
Boston, MA; full-time, exempt.