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Genomic Data Science Jobs (NOW HIRING)

Merck & Co.

$194K - $305K/yr

Analyze, summarize and visualize the findings from large multi-modal clinico-genomic datasets which ... in scientific computation environments with adoption of best practices for reproducible data ...

Natera

OR · On-site

Work closely with other departments such as R&D, Data Science, Business Development, Medical Affairs, Product Management, and Engineering to integrate genomics and clinical data into broader research ...

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How much do genomic data science jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for genomic data science in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

How does a genomic data scientist typically collaborate with multidisciplinary teams in research or healthcare settings?

Genomic Data Scientists often work closely with biologists, clinicians, statisticians, and software engineers to interpret complex genomic datasets. Collaboration usually involves translating biological questions into analytical tasks, developing and applying computational pipelines, and communicating findings in accessible terms. Regular meetings, shared project management tools, and cross-disciplinary workshops are common, fostering an environment where diverse expertise is integrated to advance research or clinical objectives. This collaborative approach not only enhances the quality of insights but also provides opportunities for professional growth and learning from adjacent fields.

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

To excel as a Genomic Data Scientist, you need a strong background in bioinformatics, genetics, and statistical analysis, typically supported by a degree in biology, computational science, or a related field. Familiarity with tools like Python, R, next-generation sequencing (NGS) platforms, and databases such as Ensembl is crucial, as is experience with cloud computing or high-performance computing environments. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are vital soft skills in this role. These competencies enable accurate data interpretation, effective collaboration, and innovative research that advances our understanding of genomics.

What is genomic data science?

Genomic data science is an interdisciplinary field that focuses on analyzing and interpreting vast amounts of genetic and genomic data using computational and statistical methods. Professionals in this field use bioinformatics tools, machine learning, and data analysis techniques to uncover insights about genes, diseases, evolution, and biological processes. Genomic data scientists often work with large datasets from next-generation sequencing and collaborate with biologists, clinicians, and researchers to advance our understanding of genetics and its applications in medicine and research.

What is the difference between Genomic Data Science vs Bioinformatics?

AspectGenomic Data ScienceBioinformatics
Required CredentialsDegree in Data Science, Bioinformatics, or related fields; programming skillsDegree in Bioinformatics, Biology, or related fields; computational skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch labs, academic institutions, biotech firms
Industry UsageAnalyzing large genomic datasets, developing algorithmsSequence analysis, genome annotation, biological data interpretation
Common Search IntentData analysis in genomics, computational methods for geneticsGenomic sequence analysis, biological data processing

While both roles involve working with genomic data, Genomic Data Science focuses on applying data science techniques, machine learning, and statistical analysis to large genomic datasets. Bioinformatics emphasizes biological sequence analysis, genome annotation, and biological interpretation. Both fields often overlap but differ mainly in their core focus: data science methods versus biological data analysis.

More about Genomic Data Science jobs
What cities are hiring for Genomic Data Science jobs? Cities with the most Genomic Data Science job openings:
What states have the most Genomic Data Science jobs? States with the most job openings for Genomic Data Science jobs include:
What job categories do people searching Genomic Data Science jobs look for? The top searched job categories for Genomic Data Science jobs are:
Genomic Data Science jobs near you
Infographic showing various Genomic Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.

Vice President, Data Governance Officer

Labcorp

Durham, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Labcorp rating

6.6

Company rating: 6.6 out of 10

Based on 1,138 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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