Lead - Biomedical Data Factory Team

Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree required
  • 2-3 years in data engineering or architecture
  • Familiarity with synthetic data systems
  • Understanding of PI/PHI and HIPAA compliance
  • Ability to mentor and coordinate technical teams

Responsibilities

  • Maintain high-performance synthetic data pipelines compliant with standards
  • Audit and enhance data quality and lineage regularly
  • Manage the lifecycle of AI tools and infrastructure
  • Collaborate with architecture teams for system alignment
  • Lead and mentor junior data staff
  • Coordinate team tasks to ensure service commitments
  • Support AI project data needs and technical requirements

Benefits

  • Collaborative work environment with enthusiastic professionals
  • Opportunities for mentorship and growth in a technological setting
  • Engagement with cutting-edge AI research and projects
  • Emphasis on compliance and ethical data practices
  • Unique opportunity to influence AI infrastructure
Full 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

Job Description

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!

About MUSC Health & Medical University of SC

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Join the dedicated team at MUSC Health & Medical University of SC, a leader in medical innovation and education. This prestigious institution offers a variety of job opportunities that pave the way for professional growth and development in the healthcare sector.

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