Agentic AI Scientist - Office of Data Science

Thecentermemphis; Memphis (TN); Hybrid; USD 86,320 - 154,960; Full time

Job summary

St. Jude Children's Research Hospital is seeking an Agentic AI Scientist to lead the design, development, and evaluation of agentic AI systems across the Office of Data Science.

This role focuses 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 report to the Chief of Artificial Intelligence, contribute to technical reporting and

Qualifications

• Bachelor's or higher in a related field with experience in agentic‑AI.
• Publication record or equivalent in ML/AI research preferred.
• Experience shipping LLM‑integrated systems and healthcare domain knowledge is a plus.

Responsibilities

• Lead agentic‑AI research and engineering projects with moderate supervision.
• Design and orchestrate agent systems and interoperability patterns.
• Maintain secure, auditable HIPAA‑aligned patterns and dashboards.
• Report results, mentor staff, and contribute to manuscripts and reports.

Skills

Agentic AI research

Python

LLM integration

Experiment design

Project coordination

Education

Bachelor's in Computer Science or related

Master's in related field

PhD with exceptional contributions

Tools

MCP servers/clients

OAuth 2.1

OpenTelemetry

LangSmith

Pinecone/Vectordb

Modal / Firecracker

Job description

St. Jude Children’s Research Hospital is where those with a passion for making a difference come to break new ground. Located in Memphis, Tennessee, St. Jude leads the way the world understands, treats, and defeats childhood cancer and other life‑threatening diseases through groundbreaking research and compassionate care.

The Office of Data Science (ODS; www.stjude.org/ods) at St. Jude institutionalizes and expands 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.

The ODS 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. 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 position reports to the Chief of Artificial Intelligence.

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

Qualifications

• 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).
• Preferred: 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.

Preferred Technical / Functional Requirements (Agentic AI specialization)

Depth in at least one item per row; working awareness across the row. (Named technologies are illustrative examples, not a required stack.)

• Agent frameworks. Production depth in at least one framework (e.g., LangGraph, OpenAI Agents SDK, Google ADK, CrewAI, Microsoft Agent Framework, Pydantic AI, LlamaIndex, Strands, Haystack, DSPy, Agno).
• Interoperability protocols. Author and operate MCP (Model Context Protocol) servers, clients, and tools, including its core primitives (prompts, tools, resources) over JSON‑RPC with OAuth 2.1 authorization; build A2A (Agent2Agent) interoperable agents; awareness of emerging agent standards (e.g., AG‑UI, AGNTCY/OASF, MIT NANDA registry/discovery).
• Orchestration & control loop. The agent harness: model‑output parsing, tool dispatch, context‑window management, and enforcement of stop conditions, budgets, and safety boundaries; multi‑agent topologies (e.g., hierarchy, swarm, graph); checkpointing and human‑in‑the‑loop; composable, loadable agent capabilities (e.g., Agent Skills).
• Evaluation & observability. Tracing (e.g., OpenTelemetry), offline and online evaluation (e.g., LLM‑as‑judge), guardrails, and red‑teaming, with observability tooling (e.g., LangSmith, Langfuse, Arize Phoenix, Microsoft Foundry Observability).
• Identity, security & deployment. Agent identity and authorization (e.g., Microsoft Entra Agent ID, Okta / Auth0 for AI Agents, On‑Behalf‑Of token exchange), RBAC/SSO, sandboxed execution (e.g., E2B, Modal, Firecracker microVM), and private/secure LLM deployment patterns (HIPAA‑aligned, auditable, on‑prem/VPC; cf. the GPT4DFCI pattern).
• 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).

Compensation

In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $86,320 - $154,960 per year for the role of Agentic AI Scientist - Office of Data Science.

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St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

St. Jude is an Equal Opportunity Employer