Agentic AI Scientist - Office of Data Science

St. Jude Children's Research Hospital•Memphis, TN

3d•$86,320 - $154,960•Onsite

About The Position

St. Jude Children’s Research Hospital is seeking a skilled and collaborative Agentic AI Scientist to lead the design, development, and evaluation of agentic AI systems that support research and operational workflows across the Office of Data Science (ODS). This role will focus on building and orchestrating advanced LLM-based agents, developing secure and interoperable infrastructure, and translating emerging AI capabilities into practical, high-impact solutions. The successful candidate will also contribute to technical reporting, results evaluation, and staff guidance to promote responsible and effective adoption of agentic AI. The ODS aims to institutionalize and expand data science capabilities to unlock the vast potential of St. Jude’s biological data repositories, with a vision for St. Jude to become a global leader in applying data science to biological discovery. The ODS is creating a seamless ecosystem where experimental, clinical, and data scientists collaborate to accelerate discoveries, support scientific initiatives, and advance the understanding and treatment of pediatric catastrophic diseases.

Requirements

Minimum: Bachelor's in Computer Science, Bioinformatics, Biomedical Engineering, or a related field with 6+ years of relevant experience (OR) Master's with 4+ years (OR) entry-level PhD with no work experience. (PhD requirement waived, given an extraordinarily unusual level of scientific contribution.)
Publication benchmark: 1 to 2 first-author papers with a journal impact factor > 5 (or equivalent contribution to other research / open-source outputs).
Depth in at least one item per row; working awareness across the row for Agent frameworks, Interoperability protocols, Orchestration & control loop, Evaluation & observability, Identity, security & deployment, Engineering hygiene.
Strong Python; version control, tests, CI, reproducible eval harnesses; retrieval and context engineering (e.g., embeddings and vector search with pgvector or Pinecone, RAG, GraphRAG, cache-augmented generation / CAG, agentic RAG, recursive language models / RLM).

Nice To Haves

Prior applied-ML or agentic-AI research
Demonstrated shipping of LLM-integrated systems
Healthcare, biomedical, or other research-intensive domain experience.
Experience in project coordination, maintenance, and other research support activities preferred.

Responsibilities

Lead computationally focused agentic-AI research and engineering projects with moderate supervision from the manager; provide inputs on analytical approaches, set up experiments, and develop new agentic methods with manager input.
Design and orchestrate agent systems (agent hierarchies, tool use, handoffs, checkpointing, and human-in-the-loop control) over ODS data and tools.
Stand up and maintain MCP servers/clients and A2A-interoperable agents that connect ODS assets (e.g., St. Jude Cloud, internal warehouses, planning systems) under secure, auditable, HIPAA-aligned patterns.
Identify, process, organize, summarize, review, and report results; instrument every agent with tracing, evaluations, and cost/latency budgets.
Draft manuscripts and technical reports and work through submission and internal review with manager input; instruct and guide other staff in agentic-AI techniques.
Mentor others in agentic AI best practices and standards.