Machine Learning Scientist

To advance precision medicine in healthcare, the full-time Machine Learning Scientist, Applied Machine Learning and Agentic AI will develop innovative agentic frameworks for automating the discovery of predictive models in oncology, collaborating with cross-functional teams and utilizing extensive multimodal data. Key responsibilities Develop complex agentic workflows and build agents for long-horizon planning and reasoning Leverage oncology foundation models to create predictive algorithms integrating diverse data types Collaborate with clinical scientists and pharma partners to identify high-value use cases for drug R&D Required qualifications PhD or Master's degree with 3+ years of relevant experience in a related field Proficiency in Python and experience with agentic frameworks, particularly LangGraph Strong foundation in survival analysis and evaluation metrics for oncology models Experience working with clinical trial data and knowledge of oncology and clinical drug development Proven track record of success demonstrated through peer-reviewed publications or impactful projects