Senior Data Analyst
$80k - $120kLAB Labcorp Early Development Laboratories Inc.
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. Job Overview 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. Responsibilities 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. Minimum Qualifications 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, PowerBI, 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). Preferred Qualifications 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. Additional Job Standards Awareness of HIPAA and the handling requirements for PHI in analytic environments. Benefits 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 Application Window & Pay Range Application Window: May202026–June12026. Pay Range: $80,000–$120,000. Equal Opportunity Employer Labcorp is proud to be an Equal Opportunity Employer. We strive for inclusion and belonging in the workforce and do 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. All qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. #J-18808-Ljbffr LAB Labcorp Early Development Laboratories Inc.
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