Senior Data Analyst

Location & Work Schedule

Senior Data Analyst — Real World Data

Location:

Durham, NC or Burlington, NC. Applicants who live within 35 miles of either location will follow a hybrid schedule, with a minimum of three in-office days per week at an assigned location.

Work Schedule:

Full‑time, exempt (salaried) position on a First Shift schedule, Monday through Friday, 8:00a.m. to 5:00p.m. in the local time zone. Occasional flexibility in work hours may be required with reasonable notice.

Labcorp is advancing a “big data” approach to diagnostic testing by integrating test results from our national testing business into an enterprise data warehouse. This role is an opportunity for a highly motivated analyst within our Real World Data (RWD) group to turn complex testing data into clear, actionable analyses.

• Collaborate with software engineers, clinicians, data scientists, and informaticists.
• Use SQL and Python to extract, transform, and analyze patient‑level oncology data from the enterprise data warehouse.
• Identify and define patient cohorts of interest for internal research and commercial activities, document inclusion/exclusion logic and caveats.
• Build and maintain dashboards and recurring reports that make RWD accessible to non‑technical stakeholders.
• Investigate data quality issues, trace anomalies through pipelines, compare against source systems, and work 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 to ensure reproducibility and reviewability.
• Contribute to ad‑hoc analyses supporting RWD publications, conference presentations, and client‑facing deliverables.

• Bachelor’s degree in a STEM, quantitative, or health‑related field.
• 3+ years of analytics experience.
• 3+ years of professional experience analyzing healthcare, diagnostic, or life‑sciences data.
• 5+ years of experience using SQL, including writing and optimizing complex queries against large relational databases.
• 3+ years of Python usage for data analysis (pandas, numpy, and common plotting libraries).
• 2+ years of experience with Git and version‑controlled workflows.
• 2+ years of experience building dashboards in Tableau, Power
  
  BI, or similar tools.
• Comfort working in modern data environments such as Databricks, Snowflake, or Jupyter notebooks.
• Optional: 3+ years of experience using cloud data platforms (AWS, Azure, or GCP).
• 2+ years of experience working on Agile teams (sprints, stand‑ups, ticket‑based workflows).

• Master’s degree in a STEM, quantitative, or health‑related field.
• 2+ years of hands‑on experience with diagnostic, clinical, or other healthcare data (e.g., molecular diagnostics results, EMR/EHR data, claims data, LIMS data, laboratory test results).
• 2+ years of experience working with healthcare data standards and ontologies (SNOMED, LOINC, ICD‑10, CPT).
• Experience translating vague business questions into concrete, answerable analyses.
• Comfort presenting findings to 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.

• Awareness of HIPAA and the handling requirements for PHI in analytic environments.

• Medical, Dental, Vision, Life, STD/LTD.
• 401(k) plan.
• Paid Time Off (PTO) or Flexible Time Off (FTO).
• Tuition Reimbursement.
• Employee Stock Purchase Plan.

Employees scheduled ≥20 hours per week qualify for comprehensive benefits. Employees scheduled