Associate Principal Scientist, AI and Computational Tools, Oncology R&D (1-year
This role involves designing and deploying AI-powered tools and computational workflows to accelerate oncology drug discovery, with a focus on immuno-oncology. The scientist will build scalable data infrastructure, develop agentic AI and LLM-integrated solutions, and act as a technical leader across dry-lab and wet-lab teams. The position emphasizes translating complex biological data—such as single-cell and spatial transcriptomics—into reproducible, insight-generating systems while mentoring others in AI adoption and best practices.