~1d ago
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Manager - AI Incubation Team - MUSCP

United StatesUnited States·Charlestonmid
OtherManager
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Quick Summary

Requirements Summary

Master’s degree required; PhD preferred. Experience: 3–5 years of relevant experience with leadership exposure in AI, ML, data science, research engineering, or innovation environments.

Technical Tools
OtherManager
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.

University Medical Associates (UMA) Only Employees and Financials

Employee

Classified

CC005532 EVPAA - Center for Artificial Intelligence

Salary

Health-35

40

Responsibilities

~1 min read
  • 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.

  • Deliver 2–3 validated AI innovations annually (deployed, validated, or patentable).
  • Increase MUSC’s internal capacity for early‑stage AI exploration.
  • Reduce barriers preventing departments from pursuing high‑impact AI ideas.

Requirements

~1 min read
  • Education: Master’s degree required; PhD preferred.

  • Experience: 3–5 years of relevant experience with leadership exposure in AI, ML, data science, research engineering, or innovation environments.

  • Technical Capability: Hands‑on experience supporting AI projects, prototyping, data analysis, or early‑stage concept development.

  • Leadership: Demonstrated ability to lead technical contributors (data scientists, ML engineers).

  • Innovation Skillset: Experience in rapid experimentation, feasibility analysis, or proof‑of‑concept development strongly preferred.

If you like working with energetic enthusiastic individuals, you will enjoy your career with us!

The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.

Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees

Location & Eligibility

Where is the job
Charleston, United States
On-site at the office
Who can apply
US

Listing Details

First seen
October 1, 2026
Last seen
October 3, 2026

Posting Health

Days active
1
Repost count
0
Trust Level
51%
Scored at
October 3, 2026

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Manager - AI Incubation Team - MUSCP