Lead - Biomedical Data Factory Team

C003 University Medical Associates (UMA) Only Employees and Financials; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Medical University of South Carolina seeks a Lead of the Clinical Data Factory to support AI development workflows with PI/PHI‑compliant synthetic data pipelines and model-training readiness. You will collaborate with IS Architecture and Security, and the AI Center to maintain a scalable AI data ecosystem that enables rapid experimentation while ensuring compliance.

The role emphasizes leadership of a data engineering team, governance of data pipelines, and ongoing system maintenance to support

Qualifications

• Master’s degree required.
• 2–3 years of relevant experience with some leadership exposure.
• Experience in data engineering, synthetic data pipelines, ETL/ELT workflows, or regulated healthcare data systems.
• Familiarity with PI/PHI handling, HIPAA, or regulated-data architectures preferred.
• Leadership: ability to mentor junior engineers/architects and coordinate technical backlog or system maintenance cycles.

Responsibilities

• Synthetic data pipeline management and compliance to PI/PHI standards, ensuring high-quality datasets for model training.
• Oversee lifecycle maintenance of AI Center built tools and data infrastructure enhancements.
• Lead and mentor junior data engineers and architects, maintaining documentation and standards.
• Collaborate with AI project teams to support data provisioning and model experimentation.
• Maintain data governance practices and monitor data risk in alignment with IS guidance.

Skills

Data engineering

ETL/ELT workflows

Leadership

HIPAA compliance

Education

Master’s degree

Tools

ETL tools

Job description

Job Description Summary The Lead of the Clinical Data Factory supports the data ecosystem that powers MUSC’s AI development workflows. This role ensures PI/PHI‑compliant synthetic data pipelines, model‑training readiness, system stability, and data availability by working w/IS architecture to keep the mini-arch ahead of major changes for continued workflow. The Lead works closely with Central IS Architecture and Security, and the AI Center to maintain an emergent AI architecture that reduces load on central IT while enabling rapid experimentation and compliant model development.

Entity University Medical Associates (UMA) Only Employees and Financials Worker Type Employee Worker Sub-Type Classified Cost Center CC005532 EVPAA - Center for Artificial Intelligence Pay Rate Type Salary Pay Grade Health-34 Scheduled Weekly Hours 40 Work Shift

Primary Areas of Responsibility (with % Allocation)

• 1. Synthetic Data Pipeline Management & Compliance – 40% Maintain high‑performance data pipelines meeting PI/PHI compliance standards. Audit, monitor, and improve data quality, performance, and lineage. Support model‑training workflows with high‑integrity synthetic datasets. Ensure operational compliance, and follow through with IS Strategies and Approaches
• 2. System Architecture, Maintenance & Enhancement – 25% Oversee lifecycle maintenance of AI Center Built Tools, patching, and upgrades to mini data infrastructure. Partner with enterprise architecture teams to ensure alignment with evolving systems. Communicate risks, dependencies, and required enhancements proactively.
• 3. Team Leadership & Technical Guidance – 20% Lead and mentor Jr. Data Engineers and Jr. Architects. Maintain documentation, operational workflows, and technical standards. Coordinate team activities to meet service and uptime commitments.
• 4. Integration with AI Project Teams – 10% Collaborate with AI Strategy & Ops, Research and AI Incubation teams to ensure data needs are met. Provide technical support for data provisioning, synthetic layering, and model experimentation for the AI Center activities.
• 5. Governance, Quality & Model Integrity Support – 5% Maintain data governance practices that support ethical model development. Support model integrity monitoring and data risk mitigation in conjunction w/IS Guidance and Policy

Key Annual Performance Objectives

• Meet synthetic data KPIs for quality, performance, and service uptime.
• Reduce dependency on core IT architecture for AI model development.
• Maintain compliance and operational stability of the synthetic data ecosystem.

Additional Job Description Required Qualifications

• Education: Master’s degree required.
• Experience: 2–3 years of relevant experience with some leadership exposure, ideally in data engineering, architecture, synthetic data systems, or compliant data environments.
• Technical Capability: Experience in data engineering, synthetic data pipelines, ETL/ELT workflows, or regulated healthcare data systems.
• Compliance Knowledge: Familiarity with PI/PHI handling, HIPAA, or regulated‑data architectures preferred.
• Leadership: Ability to mentor junior engineers/architects and coordinate technical backlog or system maintenance cycles.
• 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

Thank you for wanting to be part of the Medical University of South Carolina team. Whether you want to teach the next generation of health care leaders, innovate new business models, discover the next breakthrough or provide patient care, there's a role for you that fuels your passion and takes advantage of your skills. There are career opportunities available in academics, research, hospital medicine, physician practices and support services, from patient billing to IT. As an applicant, you can search jobs for all MUSC entities as well as search by category and location. MUSC attracts more than $250 million annually in research funding, making it the biggest magnet for biomedical, extramural research dollars of all institutions of higher learning in South Carolina. The Clinical and Translational Science Award (CTSA) Program aims to advance clinical and translational science to increase the speed at which new treatments become available to patients. MUSC Health, the clinical enterprise, operates a 750 bed medical center, which includes a nationally recognized Children’s Hospital, the Ashley River Tower (cardiovascular, digestive disease, and surgical oncology), Hollings Cancer Center (one of fewer than 70 elite National Cancer Institute designated centers), a Level I Trauma Center and the Institute of Psychiatry. In addition, there are more than 100 outreach clinics, hospital/health system affiliations, and telehealth sites. U.S. News & World Report placed us among the top one percent of all American hospitals, with 11 specialties in the top 50. The MUSC Medical Center is also one of only three Magnet® designated hospitals in South Carolina.