Required Skills: Applied Mathematics, Chemical Informatics, Clinical Research, Computational Models, Computational Sciences, Data Analysis, Database Management, Data Science, Data Security, KNIME, Machine Learning (ML), Model Development, Neural Networks, Parameter Estimation, Project Management, Python (Programming Language), PyTorch, Quantitative Structure Activity Relationship (QSAR), Scientific Research, Scientific Software Development, scikit-learn, SciPy, Software Proficiency, Statistical Models. 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.