Agentic AI Scientist - Office of Data Science
Core
Design, develop, and evaluate agentic AI systems to support research and operational workflows, building and orchestrating advanced LLM-based agents for biological discovery.
Role type
Senior IC agentic AI scientist
Builds
Agentic AI systems, MCP servers/clients, A2A-interoperable agents, and secure infrastructure for ODS data and tools
Domain
Biomedical research / Healthcare data science
Deliverable
production ML models
Required skills
Agentic AI research and engineering, Agent system design and orchestration, MCP (Model Context Protocol) implementation, A2A (Agent2Agent) interoperability, Agent evaluation and observability, Identity and security for AI agents, Python engineering, Retrieval and context engineering
Preferred skills
Applied-ML or agentic-AI research, Shipping LLM-integrated systems, Healthcare or biomedical domain experience, Project coordination
Technologies
LangGraph, OpenAI Agents SDK, Google ADK, CrewAI, Microsoft Agent Framework, Pydantic AI, LlamaIndex, Strands, Haystack, DSPy, Agno, OpenTelemetry, LangSmith, Langfuse, Arize Phoenix, Microsoft Foundry Observability, Microsoft Entra Agent ID, Okta, Auth0, E2B, Modal, Firecracker, pgvector, Pinecone
Responsibilities
Lead computationally focused agentic-AI research and engineering projects; Design and orchestrate agent systems with tool use and human-in-the-loop control; Stand up and maintain MCP servers/clients and A2A-interoperable agents; Identify, process, organize, summarize, review, and report results with tracing and evaluations; Draft manuscripts and technical reports; Mentor others in agentic AI best practices
Seniority
Senior, hands-on IC
