AI ADMINISTRATIVE RESIDENT at H. Lee Moffitt Cancer Center – Tampa, Florida

Ai Administrative Resident

Position Highlights:

The AI Administrative Resident is an early-career professional with advanced training in Artificial Intelligence, Machine Learning, Data Science, or related fields. This one-year structured residency combines organizational exposure, leadership development, and immersive AI/IT project experience designed to cultivate a future technical and organizational leader for Moffitt Cancer Center. This program is tailored for individuals seeking to apply advanced computational methods across clinical, business, and research operations while gaining a broad understanding of cancer center workflows.

Responsibilities:

• Rotational Learning
  • 2 months of broad exposure to clinical, research, and business operations.
  • 1 month dedicated to IT, Machine Learning, and AI immersion.
  • Shadowing, executive interactions, and foundational leadership development.
• Project Execution
  • Resident works on AI/IT projects focused on real-world institutional needs.
  • Projects are co-designed with technical preceptors and leadership.
  • Deliverables include strategy recommendations, model prototypes, workflow automation, and operational enhancements.
• Professional Development
  • Participate in structured mentoring with both leadership and technical preceptors.
  • Engage with Administrative Residency peers for shared programming.
  • Attend professional development workshops, leadership sessions, and cross-departmental meetings

Credentials and Experience:

• Master’s degree or higher in Applied Data Science, Computer Science, Artificial Intelligence, Machine Learning, Biomedical Informatics, or related discipline.
• Degree must be conferred between July 1, 2025, and May 30, 2026.
• Demonstrated experience with AI/ML model development, data analysis, or computational research.
• Strong problem-solving, communication, and collaboration abilities.
• Interest in applying AI to healthcare operations, clinical workflows, or cancer research.