Agentic AI Scientist - Office of Data Science

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).
• 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.)