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USA - NC - Durham - 10 Moore Drive, United States of America
Onsite
Senior Data Analyst — Real World Data
Location: Durham NC, or Burlington 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. in your local time zone. Business needs may occasionally require flexibility in work hours, including earlier, later, or additional hours, with reasonable notice provided when possible
Labcorp has an exciting new "big data" approach to diagnostic testing. We are integrating test results from our national testing business into an enterprise data warehouse to enable a variety of impactful data use cases. We have an excellent opportunity for a highly motivated analyst within our Real World Data (RWD) group.
Job Responsibilities
As a Real-World Data, Senior Data Analyst, you will work alongside software engineers, clinicians, data scientists, and informaticists to turn complex testing data into clear, actionable analyses. You'll spend most of your time in SQL and Python — pulling cohorts, investigating data quality issues, and producing the reports and dashboards that internal and external stakeholders rely on. This role is a great fit for someone who enjoys digging into messy healthcare data, asking sharp questions of it, and communicating what they find.
Write SQL and Python to extract, transform, and analyze patient-level oncology data from our enterprise data warehouse.
Identify and define patient cohorts of interest in support of internal research and commercial activities, clearly documenting inclusion/exclusion logic and caveats.
Build and maintain dashboards and recurring reports that make RWD accessible to non-technical stakeholders.
Investigate data quality issues — tracing anomalies back through pipelines, comparing against source systems, and working with engineers to resolve root causes.
Produce data quality metrics and monitoring to confirm pipelines are operating as expected.
Partner with data scientists and clinicians to prepare analytic datasets, validate outputs, and interpret results in a clinical context.
Document analyses, queries, and methodologies in version-controlled repositories so that work is reproducible and reviewable.
Contribute to ad hoc analyses supporting RWD publications, conference presentations, and client-facing deliverables.
Minimum Qualifications
Bachelor's degree in a STEM, quantitative, or health-related field
3 years or more of analytics experience
3 years of demonstrated experience analyzing healthcare, diagnostic, or life-sciences data in a professional setting.
5 years or more of experience using SQL, including writing and optimizing complex queries against large relational databases.
3 years or more of using Python for data analysis (pandas, numpy, and common plotting libraries).
2 years or more of experince with Git and version-controlled workflows (pull requests, code review, branching).
2 years or more of experience building dashboards in Tableau, Power BI, or similar tools.
Comfort working in modern data environments such as Databricks, Snowflake, or Jupyter notebooks.
3 years or more of experience using cloud data platforms (AWS, Azure, or GCP) is a plus.
2 years or more of experience working on Agile teams (sprints, stand-ups, ticket-based workflows).
Preferred Qualifications
Master’s degree in STEM, quantitative, or health-related field
2 or more years of hands-on experience working with diagnostic, clinical, or other healthcare data is required. Examples include molecular diagnostics results (NGS, histopathology), EMR/EHR data, claims data, LIMS data, or laboratory test results.
2 years or more of working with healthcare data.
2 years or more years of experience with healthcare data standards and ontologies (SNOMED, LOINC, ICD-10, CPT) is a plus.
Additional Job Standards
Awareness of HIPAA and the handling requirements for PHI in analytic environments.
Experince translating vague business questions into concrete, answerable analyses.
Comfortable in presenting findings to both technical and non-technical audiences, including clinicians and commercial stakeholders.
Strong sense of ownership and follow-through on analyses from question to delivered answer.
Familiarity with FAIR data principles.
Exposure to Real-World Evidence (RWE), HEOR, or Medical Affairs workflows.
Application Window: May 20, 2026-June 1, 2026
Pay Range: 80,000-120,000
All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data.
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.
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