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Biomedical Data Engineer Jobs in Charleston, SC (NOW HIRING)

... data pertaining to any special assignments Regulatory Compliance - 25% * Ensure the accuracy and ... Minimum 5 years' experience working with biomedical equipment in a clinical engineering environment

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Biomedical Data Engineer information

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$14

$58

$82

How much do biomedical data engineer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for biomedical data engineer in Charleston, SC is $58.94, according to ZipRecruiter salary data. Most workers in this role earn between $50.14 and $66.35 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a biomedical data engineer, and why are they important?

To thrive as a Biomedical Data Engineer, you need strong programming skills (e.g., Python, R), a background in biomedical sciences or bioinformatics, and experience with data modeling and analysis. Familiarity with big data frameworks, cloud platforms, and tools like SQL, Hadoop, and machine learning libraries, as well as relevant certifications, is commonly required. Excellent problem-solving abilities, attention to detail, and effective collaboration with cross-functional teams help you stand out in this role. These skills enable accurate analysis and integration of complex biomedical data, supporting critical healthcare research and innovation.

What are some common challenges faced by biomedical data engineers when integrating clinical data from multiple sources?

Biomedical Data Engineers often encounter challenges related to data heterogeneity when integrating clinical information from diverse sources such as electronic health records, medical imaging systems, and genomic databases. These sources may use different formats, standards, and terminologies, making data cleaning and normalization a complex task. Additionally, ensuring patient privacy and compliance with healthcare regulations adds another layer of complexity. Collaborating with clinicians, data scientists, and IT teams is essential to address these challenges and ensure data is usable for research and decision-making.

What is a biomedical data engineer?

A Biomedical Data Engineer is a professional who designs, develops, and maintains systems for collecting, storing, and analyzing biomedical data. They work at the intersection of healthcare and technology, collaborating with researchers, clinicians, and IT specialists to ensure that medical data is accessible, accurate, and secure. Their work supports medical research, diagnostics, and the development of healthcare solutions by leveraging large datasets, machine learning, and advanced analytics. Biomedical Data Engineers often use programming languages, database management, and data processing tools to handle complex health data from various sources.

What is the difference between Biomedical Data Engineer vs Biomedical Data Analyst?

AspectBiomedical Data EngineerBiomedical Data Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; experience with data engineering toolsBachelor's or Master's in Biology, Bioinformatics, or related fields; proficiency in data analysis and visualization
Work EnvironmentDevelops data pipelines, manages databases, and ensures data infrastructure for research and healthcareAnalyzes datasets, creates reports, and interprets data for research or clinical decision-making
Employer & Industry UsageResearch institutions, biotech companies, healthcare providersHospitals, research labs, biotech firms, healthcare organizations

While both roles work with biomedical data, Biomedical Data Engineers focus on building and maintaining data infrastructure, whereas Biomedical Data Analysts interpret and analyze data to support research and clinical decisions.

What are popular job titles related to Biomedical Data Engineer jobs in Charleston, SC? For Biomedical Data Engineer jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Biomedical Data Engineer jobs in Charleston, SC look for? The top searched job categories for Biomedical Data Engineer jobs in Charleston, SC are:
What cities near Charleston, SC are hiring for Biomedical Data Engineer jobs? Cities near Charleston, SC with the most Biomedical Data Engineer job openings:

Lead - Biomedical Data Factory Team

MUSC Health & Medical University of SC

Charleston, SC • On-site

Full-time

Re-posted 2 days ago


MUSC Health rating

7.0

Company rating: 7.0 out of 10

Based on 198 frontline employees who took The Breakroom Quiz

414th of 887 rated healthcare providers


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!
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

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About MUSC Health

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MUSC is located in Charleston, SC, frequently named one of the best places in America to live. If charming, historic, vibrant, cultural, and coastal are adjectives that you find appealing, it's all here. In Charleston, you might find yourself dining at a world class restaurant tonight and relaxing on a boat as you explore our many waterways tomorrow. You might stroll along cobblestone streets, amidst centuries old homes by day and attend a jazz concert by night. Charleston is a place where you can live your life to its fullest.

Industry

Hospitality services

Company size

10,000+ Employees

Headquarters location

Charleston, SC, US

Year founded

1824