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. The Computational Toxicology group within Nonclinical Drug Safety group at our Company combines toxicology expertise, data science, and AI/ML, including emerging Large Language Model (LLM) and generative AI applications, to enhance the prediction and mechanistic understanding of drug safety risks. Our vision is to accelerate safety assessments, support early drug discovery teams, and reduce reliance on in vivo testing through advanced computational approaches. We are seeking a highly motivated Co-op student to join the Computational Toxicology team at our Company Research Laboratories. This position offers an exciting opportunity to apply machine learning (ML), natural language processing (NLP), and LLM-based reasoning to real-world pharmaceutical safety data. You will contribute to the development of AI pipelines that mine and integrate multimodal toxicology datasets, spanning genomics, metabolomics, chemistry, in vitro/in vivo data, and biomedical literature, to generate mechanistic hypotheses and predictive models of toxicity.