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Vp Data Science Jobs in Raleigh, NC (NOW HIRING)

VP, Client Solutions

Raleigh, NC · On-site

$134K - $172K/yr

With over an 80+ year legacy of advancing science and a mission of innovating for a healthier world ... Maintain accurate, real-time pipeline data within Salesforce CRM, including opportunity stage ...

VP, Client Solutions

Raleigh, NC · Remote

$134K - $172K/yr

With over an 80+ year legacy of advancing science and a mission of innovating for a healthier world ... Maintain accurate, real-time pipeline data within Salesforce CRM, including opportunity stage ...

The VP will partner closely with Medical Directors, Product, Technology, Data Science, and Client Success teams to support program implementation, clinical workflow optimization, and operational ...

Vice President of Enrollment Location: Raleigh, NC Reporting Relationship: Chief Revenue Officer ... Drive efficiency through data analytics and updated technology for a world class employee and ...

Pioneering science to create transformative molecular medicines. Our mission: Lead innovative ... KOLs, Data Monitoring Committee (DMC), advisory boards, patient advocacy groups) * Work ...

Pioneering science to create transformative molecular medicines. Our mission: Lead innovative ... KOLs, Data Monitoring Committee (DMC), advisory boards, patient advocacy groups) * Work ...

Pioneering science to create transformative molecular medicines. Our mission: Lead innovative ... KOLs, Data Monitoring Committee (DMC), advisory boards, patient advocacy groups) * Work ...

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Showing results 1-20

Vp Data Science information

See Raleigh, NC salary details

$40.3K

$138.5K

$195.4K

How much do vp data science jobs pay per year?

As of Aug 24, 2026, the average yearly pay for vp data science in Raleigh, NC is $138,483.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,200.00 and $161,900.00 per year, depending on experience, location, and employer.

What does a VP of Data Science do?

A VP of Data Science leads and manages the data science team within an organization, setting the strategic vision for how data is used to drive business decisions. They oversee the development and implementation of data-driven solutions, ensure data quality and integrity, and collaborate with other executives to align data initiatives with company goals. Additionally, they mentor data scientists, manage budgets, and stay updated on the latest trends and tools in data science to keep their teams competitive.

What are the key skills and qualifications needed to thrive as a VP of Data Science?

To thrive as a VP of Data Science, you need advanced expertise in statistical analysis, machine learning, and big data, usually supported by a graduate degree in a quantitative field and extensive industry experience. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization systems, as well as experience managing enterprise data architectures, is crucial. Exceptional leadership, strategic thinking, and communication skills set top candidates apart in this role. These abilities are essential for guiding teams, influencing business decisions, and driving impactful data-driven strategies across the organization.

How does a VP of Data Science typically collaborate with cross-functional teams to drive business outcomes?

A VP of Data Science frequently works with product managers, engineering teams, and business stakeholders to align data initiatives with organizational goals. They play a strategic role in translating business challenges into data-driven solutions, ensuring that data science projects support decision-making and growth. Effective collaboration involves regular meetings, clear communication of technical concepts to non-technical audiences, and fostering a culture of data literacy across the organization. By bridging technical expertise and business acumen, the VP helps maximize the impact of data science initiatives.

What is the difference between Vp Data Science vs Data Science Manager?

AspectVp Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsManaging data science projects, team supervision, project delivery
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsDegree in related field, experience in managing data projects
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTeam management, project-focused, collaborative with data teams

The Vp Data Science typically holds a strategic, leadership role overseeing multiple teams and setting long-term data initiatives, while a Data Science Manager focuses on managing data projects and teams directly involved in execution. Both roles require strong technical backgrounds, but the Vp is more involved in high-level planning and organizational strategy.

What are the most commonly searched types of Data Science jobs in Raleigh, NC?

The most popular types of Data Science jobs in Raleigh, NC are:

What are popular job titles related to Vp Data Science jobs in Raleigh, NC?

For Vp Data Science jobs in Raleigh, NC, the most frequently searched job titles are:

What cities near Raleigh, NC are hiring for Vp Data Science jobs?

Cities near Raleigh, NC with the most Vp Data Science job openings:

Infographic showing various Vp Data Science job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $138,483 per year, or $66.6 per hour.

Vice President, Data Governance Officer

Durham, NC • Hybrid


Labcorp
Scientific Research and Development Services • 10K+ employees

6.6

Company rating: 6.6 out of 10

Based on 1,151 frontline employees who took The Breakroom Quiz

96th of 120 rated laboratories

People enjoy working here

Recommended by students

Recommended by parents


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


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 fulltime, 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 toworka 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, pleaseclick 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

If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit ouraccessibility siteor contact us atLabcorp Accessibility. Formore information about how we collect and store your personal data, please see ourPrivacy Statement.




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