Oncology Clinical Data Manager at LabCorp
Durham, NC 27703, USA -
Full Time


Start Date

Immediate

Expiry Date

08 Nov, 25

Salary

0.0

Posted On

10 Aug, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Microsoft Office, Research, Relational Databases, Productivity Software, Biomedical Informatics, Postgresql

Industry

Pharmaceuticals

Description

At Labcorp, we believe in the power of science to change lives. We are a leading global life sciences company that delivers answers for crucial health questions —because we know that knowledge has the potential to make life better for all. Through our unparalleled diagnostics and drug development capabilities, we provide insights and accelerate innovations that not only empower patients and providers but help medical, biotech, and pharmaceutical companies transform ideas into innovations. Here, you can join our more than 70,000 employees, serving clients in more than 100 countries, as we work together to make a real impact on people’s lives. Join us in our pursuit of answers.
Labcorp is seeking an Oncology Clinical Data Manager to join our dynamic cross-functional team, driving evidence generation and medical/scientific thought leadership across Enterprise Oncology. Reporting to the Director of Medical Operations, the Oncology Clinical Data Manager will serve as the primary liaison with external partners and internal researchers for clinical data management. This role involves developing processes and systems to acquire, link, and utilize a wide range of internal and third-party clinical data sources for evidence generation initiatives.

QUALIFICATIONS:

  • Master’s degree (or 3+ years of experience) in biological or physical science, biomedical informatics, or a related field.
  • Minimum of 3 years of experience working with large, complex clinical data sources to support research, including electronic health records, pharmacy records, cancer registries, clinical trial data, and manual chart abstraction.
  • At least 1 year of experience using and maintaining relational databases (e.g., MySQL, PostgreSQL).
  • At least 1 year of experience with data visualization tools and techniques (e.g., PowerBI, Tableau).
  • Experience working with productivity software (e.g., Smartsheet, Microsoft Office).
  • Proficiency in human subject protections and de-identification/tokenization concepts.
    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. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here.

How To Apply:

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Responsibilities
  • Act as the operational data lead, coordinating across project stakeholders to test and meet data requirements.
  • Develop and document clinical data transfer requirements.
  • Oversee data capture, collection, and management plans.
  • Perform data screening to inform data transformation and harmonization rules.
  • Integrate external data into internal systems, ensuring compatibility and usability for research and analysis.
  • Collaborate with IT and oncology data warehouse teams to design and manage systems that store and organize clinical data, including cross-sectional and longitudinal data assets.
  • Explore novel approaches for more efficient clinical data acquisition and management with data teams.
  • Generate database queries, perform analytical reporting, and develop dashboards to disseminate analysis results.
  • Support the development of data sharing agreements to ensure compliance with legal, ethical, and regulatory standards.
  • Provide strategic insights into study protocol development, focusing on external data collection and integration aspects.
  • Guide the configuration of electronic data capture tools (e.g., REDCap) as needed.
  • Serve as the primary liaison with external partners for clinical data management, addressing data-related questions and troubleshooting issues to ensure smooth and efficient data transfer and utilization.
  • Support internal medical and research teams’ projects by gathering data requirements, timelines, and deliverables.
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