Merck

Senior Scientist role focused on developing, benchmarking, and deploying agentic AI and Machine Learning solutions within the healthcare domain (Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics). The role involves partnering with scientists, integrating AI/ML into R&D platforms, and contributing to responsible AI practices. Requires hands-on experience with LLMs, agent frameworks, multimodal datasets, and model evaluation.

Senior AI/ML Scientist role at Merck focused on developing and deploying next-generation computational toxicology capabilities. The role involves leading projects, building production-grade models and agentic systems, and establishing governance and MLOps practices for preclinical research in a regulated environment. Key responsibilities include fine-tuning foundation models, integrating multimodal datasets, and collaborating with cross-functional teams.