Principal Research AI Innovation Lead
Core
Design, prototype, and scale AI-enabled capabilities and agentic systems to accelerate scientific research and improve decision-making quality in drug discovery.
Role type
Principal Research AI Innovation Lead (hands-on IC with strategy)
Builds
Agentic system-of-systems, reusable AI building blocks (frameworks, evaluation harnesses, tool servers), and scalable AI workflows for scientific research.
Domain
Biopharma / Drug Discovery / Computational Biology / AI
Deliverable
production ML models | product features
Required skills
Hands-on AI product and prototyping, drug discovery/translational science domain fluency, scientific evidence assessment, agentic workflows and multi-agent orchestration, architectural depth in LLMs, AI evaluation framework design, deep learning model development for biomedical applications.
Preferred skills
Experience in target identification, biomarker discovery, or clinical evidence review; building AI systems reasoning across heterogeneous scientific evidence; working in innovation-lab or rapid-prototyping environments.
Technologies
LLMs, agentic frameworks, GraphRAG, Model Context Protocol (MCP), deep learning models, multimodal generative models, protein/sequence foundation models.
Responsibilities
Partner with scientists to identify high-impact AI opportunities; shape multi-year GenAI strategies and establish reusable building blocks; architect and implement agentic systems for complex scientific workflows; establish scientifically rigorous evaluation and reliability standards; design mechanisms for incorporating expert feedback into AI workflows; collaborate with cross-functional teams on governance and scalability; communicate AI risks and results to diverse audiences.
Seniority
Principal, hands-on IC with strategy & mentorship
