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

Job Description

The Future Talent Program features Cooperative (Co-op) education that lasts up to 6 months and will include one or more projects. These opportunities in our Research and Development Division can provide you with great development and a chance to see if we are the right company for your long-term goals. We are seeking a highly motivated student to join the Translational Sciences and Outsourcing (TSO) team within the Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics (PDMB) department. The successful candidate will contribute to a high-impact translational modeling project focused on AI-enabled exposure prediction across dose levels in preclinical species. The role will combine data curation, machine learning, model benchmarking, and scientific communication to predict toxicokinetics (TK) that supports DMPK (drug metabolism and pharmacokinetics) and NDS (nonclinical drug safety) decision-making when only limited initial in vivo data are available. This co-op provides an opportunity to work alongside Data Science, PKPD, DMPK, preclinical toxicology and related scientists while applying modern AI/ML methods to real pharmaceutical PK/TK data with direct relevance to preclinical study design and therapeutic window assessment. Project Overview: The co-op will develop and benchmark structure-aware models that combine compound structures, physicochemical properties, and initial in vivo PK/TK data to predict exposure at untested dose levels based on public and internal data. The project will evaluate whether AI, ML, and mechanistic hybrid approaches improve prediction accuracy, uncertainty estimation, and detection of nonlinear exposure relative to standard empirical and mechanistic baselines. Primary Responsibilities Curate and quality-check preclinical cross-dose PK/TK datasets with clear provenance, reusable data definitions, and appropriate holdout splits to construct reusable benchmark dataset. Conduct TK analysis with exposure endpoints such as AUC