2027 Future Talent Program – Translational Sciences and Outsourcing – Co-op

Role: Student intern joining the Translational Sciences and Outsourcing team within PDMB to support a high-impact AI-enabled pharmacokinetics project. Responsibilities: curate preclinical PK/TK datasets, conduct exposure analyses (AUC, Cmax), develop and benchmark AI/hybrid models against traditional baselines, evaluate model performance and uncertainty, and communicate findings through visualizations and reports. Requirements: pursuing a Master's or Ph.D. in data science, computational chemistry, biomedical engineering, or related fields; research experience in machine learning, statistical modeling, or computational sciences; strong Python skills (NumPy, pandas, scikit-learn, PyTorch/JAX), with the ability to handle complex scientific data. Preferred: familiarity with cheminformatics (ChemProp, QSAR), mechanistic modeling (ODEs, Neural ODEs), and a background or interest in pharmacokinetics, toxicokinetics, or preclinical safety. High-value specifics: focus on PK/TK modeling, AI/ML application in drug safety, and exposure prediction in preclinical species. Work setup: hybrid, no travel required.