Translational Scientist, Applied Machine Learning and Agentic AI, Pharma R&D

The Translational Scientist, Applied Machine Learning and Agentic AI role focuses on developing cutting-edge agentic frameworks to automate the discovery of prognostic and predictive models in oncology. This position bridges advanced Large Language Model orchestration and computational biology to build deep agents for hypothesis generation and multimodal ML modeling. The role involves collaborating with senior scientists, engineers, and pharmaceutical partners to scale scientific discovery through automated, high-throughput processes.