UNKNOWN

FEED

The Manager drives early‑stage innovation, assesses feasibility, develops prototypes, and transitions validated concepts into enterprise deployment pathways. Coordinate with Strategy & Ops and Clinical Data teams to ensure smooth transition of validated prototypes.

Job Description SummaryThe 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.EntityUniversity Medical Associates (UMA) Only Employees and FinancialsWorker TypeEmployeeWorker Sub-Type​ClassifiedCost CenterCC005532 EVPAA - Center for Artificial IntelligencePay Rate TypeSalaryPay GradeHealth-35Scheduled Weekly Hours40Work ShiftJob DescriptionPrimary Areas of Responsibility (with % Allocation)1. Concept Intake, Evaluation & Prioritization – 30%<ul><li>Evaluate AI ideas for enterprise value, feasibility, and alignment to MUSC priority areas.</li><li>Build a multi‑criteria prioritization process for incubation candidates.</li><li>Serve as the key decision‑maker for scoping and defining novel concepts.</li></ul>2. Incubation Team Leadership – 25%<ul><li>Manage a team of Jr. Data Scientists and ML Engineers.</li><li>Ensure balanced allocation across multiple incubation projects.</li><li>Foster an innovative, experimentation‑friendly environment.</li></ul>3. Prototype Development & Technical Oversight – 25%<ul><li>Oversee feasibility testing, rapid prototyping, data assessment, and validation.</li><li>Ensure prototypes are developed using responsible, ethical, and compliant AI practices.</li><li>Document technical frameworks and readiness criteria for downstream teams.</li></ul>4. Transition to Deployment & Stakeholder Integration – 15%<ul><li>Coordinate with Strategy & Ops and Clinical Data teams to ensure smooth transition of validated prototypes.</li><li>Prepare design packets, implementation recommendations, and risk notes for deployment teams.</li></ul>5. Innovation Leadership & Enterprise Impact – 5%<ul><li>Maintain a pipeline of emerging AI opportunities across clinical, research, operational, and academic domains.</li><li>Serve as the Center’s innovation engine to push the boundaries of applied healthcare AI.</li><li>Seek to patent, and implement novel concepts into active execution and royalty streams for MUSC.</li></ul>Key Annual Performance Objectives<ul><li>Deliver 2–3 validated AI innovations annually (deployed, validated, or patentable).</li><li>Increase MUSC’s internal capacity for early‑stage AI exploration.</li><li>Reduce barriers preventing departments from pursuing high‑impact AI ideas.</li></ul>Additional Job DescriptionRequired Qualifications<ul><li>Education: Master’s degree required; PhD preferred.</li><li>Experience: 3–5 years of relevant experience with leadership exposure in AI, ML, data science, research engineering, or innovation environments.</li><li>Technical Capability: Hands‑on experience supporting AI projects, prototyping, data analysis, or early‑stage concept development.</li><li>Leadership: Demonstrated ability to lead technical contributors (data scientists, ML engineers).</li><li>Innovation Skillset: Experience in rapid experimentation, feasibility analysis, or proof‑of‑concept development strongly preferred.</li></ul>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: <a href="http://www.uscis.gov/e-verify/employees" rel="nofollow noopener noreferrer" target="_blank">http://www.uscis.gov/e-verify/employees</a>

MUSC

Manager - AI Incubation Team - MUSCP

Artificial Intelligence (AI)

Clinical Data

Clinical Research

Data Analysis

Data Quality

Data Science

Establish Priorities

Feasibility Analysis

Federal Laws and Regulations

Healthcare

Leadership

Multitasking

Operations Research

Patents

Prototyping

Rapid Prototyping

Risk

Royalties

Sales Pipeline

Scientific Research

State Laws and Regulations

Team Lead/Manager

Technical Leadership

Technical Support

Technical Writing

Testing

PageUp

The Associate Director partners with the CAIO, Executive Director of the Center for AI, MUSC Communications, and senior leadership to craft unified messaging, coordinate AI educational events, manage public‑facing content, elevate MUSC’s AI visibility, and support executive‑level communication needs. Required Experience: 5+ years in communications, academic affairs, healthcare marketing, strategic communications, or related roles, including leadership experience and managing complex outward‑facing programs.

Job Description SummaryThe Associate Director of Outreach leads the enterprise and community education and communication strategy for the MUSC AI Center for Health Innovation and Informatics. This role ensures broad awareness of MUSC’s AI advancements, builds a strong and compelling narrative around MUSC’s mission‑aligned AI successes, and positions MUSC as a national leader in applied healthcare AI. The Associate Director partners with the CAIO, Executive Director of the Center for AI, MUSC Communications, and senior leadership to craft unified messaging, coordinate AI educational events, manage public‑facing content, elevate MUSC’s AI visibility, and support executive‑level communication needs.EntityUniversity Medical Associates (UMA) Only Employees and FinancialsWorker TypeEmployeeWorker Sub-Type​ClassifiedCost CenterCC005532 EVPAA - Center for Artificial IntelligencePay Rate TypeSalaryPay GradeHealth-32Scheduled Weekly Hours40Work ShiftJob DescriptionPrimary Areas of Responsibility (with % Allocation)1. Enterprise AI Communications & Messaging Strategy – 40%<ul><li>Develop and maintain a cohesive communication strategy highlighting MUSC AI achievements, milestones, and innovations.</li><li>Build branded messaging set by the CAIO and Executive Director to communicate emerging AI work across Clinical, Research, Operational, and Educational domains.</li><li>Lead coordination with MUSC Communications to produce multimedia content, social campaigns, academic outreach, and public engagement.</li><li>Manage messaging frameworks that elevate MUSC’s role as a national leader in applied healthcare AI.</li></ul>2. Executive Communication & Reporting – 25%<ul><li>Produce quarterly Executive/President Council briefs outlining accomplishments, ROI, team progress, and enterprise impact.</li><li>Support leadership with science writing, digital content, and communication collateral for presentations and external events.</li><li>Provide narrative development for high‑visibility communications across MUSC.</li></ul>3. Internal Engagement & AI Awareness/Education Programs – 20%<ul><li>Build communication pathways to keep internal teams, clinical partners, researchers, and IT leadership informed about AI progress and opportunities.</li><li>Support engagement activities that highlight success stories, project wins, and best practices.</li><li>Coordinate educational workshops, tutorials, programs, retreats, and events</li><li>Maintain a portfolio of project highlights, case studies, and technical summaries.</li></ul>4. External Relations, Events & Thought Leadership – 15%<ul><li>Promote MUSC at conferences, symposia, and community events.</li><li>Manage outward‑facing content that attracts collaborations, partnerships, and recognition for MUSC’s AI leadership.</li><li>Support fundraising or donor engagement efforts in partnership with the Development Office.</li></ul>Key Annual Performance Objectives<ul><li>Deliver high‑quality quarterly executive briefs with measurable ROI impacts.</li><li>Increase enterprise engagement and awareness of AI Center for AI work.</li><li>Produce consistent and high‑impact outreach content across channels.</li><li>Improve MUSC’s AI visibility in academic, clinical, and community settings.</li></ul>Additional Job DescriptionRequired Education: Bachelors Degree in Marketing or CommunicationsRequired Experience: 5+ years in communications, academic affairs, healthcare marketing, strategic communications, or related roles, including leadership experience and managing complex outward‑facing programs.Required Leadership Experience: Demonstrated experience leading communication strategy, stakeholder engagement, or organizational outreach at scale.Required Domain Familiarity: Experience collaborating with technical teams, scientific communications, or research/healthcare environments 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: <a href="http://www.uscis.gov/e-verify/employees" rel="nofollow noopener noreferrer" target="_blank">http://www.uscis.gov/e-verify/employees</a>

Associate Director - Education and Outreach - MUSC AI Center for Health Innovation and Informatics

Academic Affairs

Best Practices

Campaigns

Content Development

Event Management

Fundraising

Health Informatics

Marketing Communications

Marketing Strategy

Multimedia

Public/Media/Press/Analyst Relations

Return on Investment (ROI)

Thought Leadership

Training/Teaching

Unified Messaging

This includes ongoing maintenance, fine‑tuning, and version management; rigorous evaluation of new AI vendors within a zero‑trust sandbox environment; and the productionization of novel AI solutions produced by AI Incubation partners and selected by senior leadership for enterprise‑wide scaling. The Manager collaborates closely with clinical, operational, IS, and research stakeholders to identify high‑value opportunities, translate needs into actionable AI solutions, and drive successful adoption and integration across MUSC.Entity.

Job Description SummaryThe Manager of AI Strategy & Operations oversees a multidisciplinary team responsible for the full lifecycle of MUSC’s AI solutions whether built internally or acquired externally. This includes ongoing maintenance, fine‑tuning, and version management; rigorous evaluation of new AI vendors within a zero‑trust sandbox environment; and the productionization of novel AI solutions produced by AI Incubation partners and selected by senior leadership for enterprise‑wide scaling. This leader ensures that AI initiatives generate measurable efficiency gains, alleviate operational bottlenecks, and deliver strong ROI. The Manager collaborates closely with clinical, operational, IS, and research stakeholders to identify high‑value opportunities, translate needs into actionable AI solutions, and drive successful adoption and integration across MUSC.EntityUniversity Medical Associates (UMA) Only Employees and FinancialsWorker TypeEmployeeWorker Sub-Type​ClassifiedCost CenterCC005532 EVPAA - Center for Artificial IntelligencePay Rate TypeSalaryPay GradeHealth-35Scheduled Weekly Hours40Work ShiftJob DescriptionPrimary Areas of Responsibility (with % Allocation)1. AI Opportunity Discovery & Operational Strategy – 35%<ul><li>Identify operational workflows poised for AI‑driven efficiency gains or cost savings.</li><li>Lead discovery workshops and needs assessments with departments across MUSC.</li><li>Build opportunity maps, prioritize initiatives, and align with enterprise strategic goals.</li><li>Develop cadenced maintenance, and AI Fine-Tuning, Bias testing, Audit, etc.</li><li>Identify existing AI Solutions primed for enhancement, build a pipeline visible to senior officers base targeted workflows based on impact index to enterprise.</li></ul>2. Team Leadership & Workforce Development – 25%<ul><li>Lead a team of Jr. Data Scientists, ML Engineers, and a Jr. Architect.</li><li>Provide mentorship, performance management, and resource planning.</li><li>Develop skill‑building programs and promote a collaborative AI culture.</li></ul>3. Solution Development & Deployment Support – 20%<ul><li>Oversee scaling of AI prototypes and solutions into enterprise environments</li><li>Guide production readiness planning and ensure operational requirements are met.</li><li>Ensure compliance with AI governance, quality standards, and risk controls.</li><li>Process document, and orient pre-assessment deployment evaluations for senior leadership review</li></ul>4. ROI Measurement & Executive Reporting – 10%<ul><li>Document and quantify financial and operational ROI from AI implementations measure as indirect or direct returns in revenue.</li><li>Track performance metrics and present outcomes to senior leadership at quarterly and annual cadence.</li></ul>5. Partner Engagement & Thought Leadership – 10%<ul><li>Advise departmental leaders on AI feasibility, adoption readiness, and workflow fit provide professional assessments to partners of build vs. buy.</li><li>Serve as an institutional subject matter expert for applied operational AI showcase examples of intentional design, and successful implementations to encourage further AI application.</li><li>Eliminate barriers and advocate for streamlined AI integration.</li></ul>Additional Job DescriptionRequired Qualifications<ul><li>Education: Master’s degree required; PhD preferred.</li><li>Experience: 3–5 years of relevant experience with leadership exposure in data science, AI, analytics, operational improvement, or technical program management.</li><li>Technical Capability: Experience collaborating with data scientists, ML engineers, or technical teams; familiarity with applied AI/ML preferred.</li><li>Leadership: Demonstrated ability to supervise teams and manage cross‑functional projects.</li><li>Operational Expertise: Proven experience partnering with operational or clinical leaders to identify efficiency improvements or workflow enhancements.</li></ul>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: <a href="http://www.uscis.gov/e-verify/employees" rel="nofollow noopener noreferrer" target="_blank">http://www.uscis.gov/e-verify/employees</a>

AI Jobs in Summerville, SC

Resume Resources

Get noticed by top employers!

AI Jobs in Summerville, SC

Manager - AI Incubation Team - MUSCP MUSC

Associate Director - Education and Outreach - MUSC AI Center for Health Innovation and Informatics MUSC

Manager - AI Strategy & Operations - MUSCP MUSC

Resume Resources