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Genomic Data Scientist Jobs in Raleigh, NC (NOW HIRING)

Scientist Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do ... Conduct data analysis and interpretation on other large data types in a genomic context.

Scientist Travel Required: None Clearance Required: Ability to Obtain Public Trust What You Will Do ... Conduct data analysis and interpretation on other large data types in a genomic context.

Tianlong Chen ( at Department of Computer Science at the University of North Carolina at Chapel ... Strong motivation and interest to analyze genomics data and interpret biomedicine from data ...

Tianlong Chen ( at Department of Computer Science at the University of North Carolina at Chapel ... GitHub is a plus. • Strong motivation and interest to analyze genomics data and interpret ...

Scientific Research & Analysis Travel Required: None Clearance Required: Ability to Obtain Public ... Conduct analysis and interpretation on data from genomic platforms including expression, exon ...

Integrate and analyze diverse genomic and multi-omicdatasets, including sequencing and public data sources. * Install, configure, and support scientific software across computing platforms; ensure ...

Genetics Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

... genomic data. Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science, evolutionary biology, and personalized medicine applications. * Curriculum Awareness ...

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Genomic Data Scientist information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do genomic data scientist jobs pay per year?

As of Jul 31, 2026, the average yearly pay for genomic data scientist in Raleigh, NC is $119,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $132,200.00 per year, depending on experience, location, and employer.

What are Genomic Data Scientists?

Genomic Data Scientists are professionals who analyze and interpret large-scale genomic data using computational, statistical, and bioinformatics techniques. They work at the intersection of biology, computer science, and statistics to extract meaningful insights from genetic information. Their work supports research in areas such as personalized medicine, disease gene discovery, and evolutionary biology. Genomic Data Scientists often collaborate with researchers, clinicians, and other scientists to solve complex biological problems and advance scientific understanding.

What are some common challenges faced by Genomic Data Scientists when working with large-scale genomic datasets?

Genomic Data Scientists often encounter challenges related to managing and processing massive datasets, which require robust computational resources and efficient data storage solutions. Data integration from different sources and formats can also be complex, necessitating careful quality control and normalization. Additionally, ensuring reproducibility of analyses and translating raw data into actionable biological insights require strong collaboration with biologists, clinicians, and other data scientists. Staying updated with evolving tools, algorithms, and best practices is also essential for success in this rapidly changing field.

What are the key skills and qualifications needed to thrive as a Genomic Data Scientist, and why are they important?

To thrive as a Genomic Data Scientist, you need expertise in bioinformatics, statistics, and genomics, typically supported by a degree in computational biology, bioinformatics, or a related field. Familiarity with programming languages like Python or R, experience with high-throughput sequencing data analysis tools, and knowledge of genomic databases are essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate across disciplines. These skills are crucial for deriving actionable insights from large-scale genomic data and advancing research or clinical applications.
What cities near Raleigh, NC are hiring for Genomic Data Scientist jobs? Cities near Raleigh, NC with the most Genomic Data Scientist job openings:
Infographic showing various Genomic Data Scientist job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $119,305 per year, or $57.4 per hour.

Vice President, Data Governance Officer

Labcorp

Durham, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Labcorp rating

6.6

Company rating: 6.6 out of 10

Based on 1,133 frontline employees who took The Breakroom Quiz

97th of 120 rated laboratories


Job description

Labcorp is a leader in diagnostics, drug development and healthcare innovation. Across every role, we harness data and AI to work smarter, move faster and create breakthrough solutions that improve health outcomes for people. With our global scale and deep expertise, you'll do meaningful work, grow your career and make a real impact. Together, we're improving health and improving lives.
Labcorp is seeking a VP, Data Governance Officer to join our team in Durham, NC.
Location: Burlington, NC or Durham, NC.
Applicants who live within 35 miles of either the Burlington, NC or Durham, NC location will follow a hybrid schedule. This schedule includes a minimum of three in office days per week at an assigned location, either Burlington or Durham, supporting both collaboration and flexibility.
Work Schedule: This is a full-time, exempt (salaried) position assigned to a First Shift schedule, with standard business hours of Monday through Friday, 8:00 a.m. to 5:00 p.m. EST.
Business needs may occasionally require flexibility in work hours, including earlier, later, or additional hours, with reasonable notice provided when possible.
Job Responsibilities
Data Strategy & Governance
  • Develop and lead a comprehensive data governance framework for clinical genomics and oncology.
  • Establish policies, procedures, and stewardship models aligned with HIPAA, CLIA, CAP, FDA, GxP, and GDPR.
  • Provides strategic oversight to ensure compliance with privacy, information security, and consent management requirements for genetic and clinical data.
  • Oversee protection and access controls for PHI and genomic data.

Data Quality, Interoperability & Reporting
  • Provides strategic oImplement frameworks to ensure the accuracy, consistency, and completeness of data.
  • Define and enforce data standards (HGVS, ClinVar, LOINC, SNOMED, HL7, FHIR).
  • Enhance interoperability across LIS, EHRs, genomic repositories, and AI platforms.
  • Develop and monitor KPIs for data quality, compliance, and governance effectiveness, reporting outcomes to leadership.

Technology & Data Management
  • Oversee the implementation and use of governance tools (e.g., Collibra, Informatica, Alation).
  • Integrate governance processes within LIS (Epic Beaker, Sunquest), EHRs (Epic, Cerner), and cloud bioinformatics platforms.
  • Support Master Data Management initiatives for unified patient, test, and provider data.
  • Define and manage budgets for governance programs and influence technology investments aligned with governance standards.

Collaboration & Leadership
  • Oversee the Data Governance Program Coordinator team, that will lead and develop a data stewards enterprise program, aligned to the business segments.
  • Partner with clinicians, lab directors, IT, compliance, and R&D teams to align governance with clinical and operational needs.
  • Define data ownership and stewardship roles, leading training and awareness programs to promote data literacy.
  • Influence governance practices across business lines and throughout the technology lifecycle.

Business Impact
  • Data Quality: Delivers accurate, reliable data for clinical decision-making and operational efficiency.
  • Compliance & Risk: Ensures regulatory adherence while reducing security and compliance risks.
  • Innovation: Supports precision medicine and advanced analytics through trusted, high-quality data.

Leadership Scope
  • Direct Leadership: Manages a team of 3 data program governance professionals & a IT Manager - Data Protection Team - 5 with clear accountability for delivery.
  • Cross-Functional Influence: Shapes governance practices across clinical, operational, and research environments, influencing technology initiatives enterprise-wide.

Minimum Qualifications
  • Bachelor's degree in Health Informatics, Bioinformatics, Data Science, Information Management, or Information Technology.
  • 5+ years of experience in data governance, data management, or healthcare data compliance.

Preferred Qualifications
  • Master's degree
  • Certifications such as Certified Data Management Professional (CDMP), Certified Health Data Analyst (CHDA), or GxP-related certifications.
  • Experience with AI-driven precision medicine initiatives, clinical trial data management, or cloud-based genomics platforms (AWS HealthLake, Google Cloud Genomics, Azure for Healthcare).
  • Background in next-generation sequencing (NGS), molecular pathology, or precision oncology research.

Additional Job Standards
  • Deep knowledge of genomics, oncology data management, and laboratory operations.
  • Strong understanding of healthcare and genomic data standards (HGVS, ClinVar, LOINC, SNOMED, HL7, FHIR).
  • Familiarity with regulatory frameworks and governance tools (HIPAA, CLIA, CAP, FDA, GxP, GDPR).
  • Strong analytical, problem-solving, and stakeholder management skills.
  • Visionary leadership with the ability to execute governance strategies.
  • Effective risk management and ethical decision-making.
  • Executive presence with the ability to communicate complex concepts clearly to diverse audiences.
  • Business acumen aligning data governance with Labcorp's mission.
  • Inclusive leadership with cross-cultural team management.
  • Ability to drive large-scale digital transformation initiatives.
  • Up to 25 % travel to corporate locations (national and international)
  • Regularly works with a computer for approximately 6-8 hours a day
  • Must be able to read and understand complex directions in a professional corporate environment

About the Role
The Data Governance Officer serves as a strategic leader responsible for shaping and executing enterprise-wide data governance initiatives across Diagnostics (DX), Biopharma Laboratory Services (BLS), and corporate functions. This role ensures the integrity, security, and regulatory compliance of patient and laboratory data, aligning with HIPAA, CLIA, CAP, FDA, and GxP standards.
With a focus on enabling precision medicine and operational excellence, the Officer drives data quality, standardization, and interoperability across Laboratory Information Systems (LIS), Electronic Health Records (EHRs), genomic databases, and bioinformatics platforms. This position partners closely with clinical, research, IT, and compliance stakeholders to embed robust data management practices that support innovation, scalability, and strategic growth.
Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please click here.
Labcorp is proud to be an Equal Opportunity Employer:
Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.
We encourage all to apply
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