百济神州｜研究员，药代动力学人工智能建模/Research Investigator，DMPK AI modeler(博士)

This role will contribute to AI-enabled ADME and translational modeling within the DMPK function, developing and applying predictive and mechanistic modeling approaches to support molecule optimization, candidate selection, and translational decision-making across discovery and preclinical development programs. Working at the intersection of DMPK, data science, and translational pharmacology, the successful candidate will integrate AI/ML, IVIVE, PK/PD, and PBPK methodologies to improve the prediction of pharmacokinetic behavior and enable data-driven decisions. The role requires strong cross-functional collaboration and the ability to translate complex analyses into clear scientific recommendations that advance project objectives.

PhD in pharmaceutical sciences, pharmacology, computational biology, bioinformatics, biostatistics, computational chemistry, artificial intelligence, machine learning, data science, engineering, or a related quantitative and life sciences discipline.