Senior Data Scientist at Labcorp Durham, NC

Senior Data Scientist – Labcorp, Durham, NC

Labcorp is implementing an exciting new "big data" approach to cancer testing. We are integrating the test results from our national oncology 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 data scientist within our new Real World Data (RWD) Product Development group. As a Real-World Data, Senior Data Scientist, you will be part of a collaborative, cross‑functional team bringing together software engineers, clinicians, data scientists, and informaticists to extract clinical insights from oncology real‑world data.

Oncology testing data is complex and heterogeneous; we need people who can bring both biomedical understanding and data management skills to the task of making this data usable. 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.

• Perform analyses of complex, multi‑modal RWD assets to drive internal insight generation and collaborative research.
• Assist commercial teams in identifying potential patient cohorts of interest and convey any caveats or other considerations as these data are pursued.
• Develop and implement methodologies to present a patient‑level view of records in Labcorp's RWD assets to enable chronological assessments of events in the course of a patient's care.
• Design, create, and validate data payloads to support RWD commercial activities, ensuring data transfer meets regulatory standards as necessary.
• Build methods to link patients across disparate data sources to create a unified view of the patient journey.
• Develop, test, and deploy dashboards and analytics user interfaces supporting a variety of use cases for internal and external stakeholders.
• Act as a point of contact for projects requiring analytics expertise, resource allocation, and guidance on best practices.
• Produce end-to-end data quality metrics to ensure that data pipelines are operational and data is processed as expected.
• Mentor and serve as a role model for junior team members, fostering collaboration, effective communication, and shared responsibility across the team.
• Troubleshoot data pipelines and resolve issues related to aberrant results in RWD projects.
• Contribute to the creation of RWD publications and/or conference presentations to share insights and outcomes with the broader research community.

We are looking for a candidate who is passionate about oncology, data science, and engineering. The following skills and qualifications are desired to succeed in this role, but not all are required. The ability to think logically, be self‑directed, learn new materials quickly, and communicate effectively are highly valued.

• Strong proficiency in Python, SQL, and database management tools, especially within reproducible workflows.
• Hands‑on experience with relational or graph databases and modern data tools such as Databricks, Jupyter notebooks, or SAP HANA.
• Expertise in data visualization tools like Tableau, Power BI, or Plotly, with a proven ability to design and publish dashboards.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, or Google Cloud) and on‑premise infrastructures.
• Competence in designing and troubleshooting data pipelines, ensuring data quality, and harmonizing data from diverse sources.
• Awareness of the use of Large Language Models (LLMs) and their application to data processing and analytics workflows.

• Familiarity with oncology and cancer biology.
• Prior experience working with molecular diagnostics data, including NGS and histopathology reports.
• Exposure to LIMS (Laboratory Information Management Systems) and/or EMR (Electronic Medical Records) data representing the oncology patient journey.

• Ability to interact and collaborate effectively with members of other functional groups in project teams.
• Demonstrated…