Manager - AI Incubation Team - MUSCP

Medical University of South Carolina•Charleston, SC

2d•Onsite

About The Position

The Manager of the AI Incubation Team leads MUSC’s rapid experimentation and prototype development function. This role enables departments with novel AI concepts to receive technical support they cannot execute alone due to resource, skill, or infrastructure limitations. The Manager drives early‑stage innovation, assesses feasibility, develops prototypes, and transitions validated concepts into enterprise deployment pathways.

Requirements

Master’s degree required
3–5 years of relevant experience with leadership exposure in AI, ML, data science, research engineering, or innovation environments.
Hands‑on experience supporting AI projects, prototyping, data analysis, or early‑stage concept development.
Demonstrated ability to lead technical contributors (data scientists, ML engineers).

Nice To Haves

PhD preferred
Experience in rapid experimentation, feasibility analysis, or proof‑of‑concept development strongly preferred

Responsibilities

Evaluate AI ideas for enterprise value, feasibility, and alignment to MUSC priority areas.
Build a multi‑criteria prioritization process for incubation candidates.
Serve as the key decision‑maker for scoping and defining novel concepts.
Manage a team of Jr. Data Scientists and ML Engineers.
Ensure balanced allocation across multiple incubation projects.
Foster an innovative, experimentation‑friendly environment.
Oversee feasibility testing, rapid prototyping, data assessment, and validation.
Ensure prototypes are developed using responsible, ethical, and compliant AI practices.
Document technical frameworks and readiness criteria for downstream teams.
Coordinate with Strategy & Ops and Clinical Data teams to ensure smooth transition of validated prototypes.
Prepare design packets, implementation recommendations, and risk notes for deployment teams.
Maintain a pipeline of emerging AI opportunities across clinical, research, operational, and academic domains.
Serve as the Center’s innovation engine to push the boundaries of applied healthcare AI.
Seek to patent, and implement novel concepts into active execution and royalty streams for MUSC.