Senior Data Scientist at Labcorp Durham, NC

Overview

Senior Data Scientist job ham, NC. Labcorp is implementing an exciting new "big data" approach to cancer testing. We are integrating test results from our national oncology testing business into an enterprise data warehouse to enable a variety of impactful data use cases. This is a Real World Data (RWD) product development role within a collaborative, cross-functional team including software engineers, clinicians, data scientists, and informaticists to extract clinical insights from oncology real-world data.

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

• 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 caveats or considerations as 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 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 data pipelines are operational and data is processed as expected.
• Mentor and serve as a role model for junior team members, fostering collaboration and effective communication 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.

Technical

Skills:

• 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 (AWS, Azure, 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.

Domain Expertise:

• Familiarity with oncology and cancer biology.
• Experience 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.

Leadership &

Collaboration:

• Ability to interact and collaborate effectively with members of other functional groups in project teams.
• Experience managing projects using Agile methodologies, including sprint planning, retrospectives, and Dev Ops practices.
• Strong sense of ownership over projects and ability to deliver outcomes that align with organizational goals.
• Ability to influence without authority and communicate with cross-functional stakeholders.

Regulatory and Compliance Awareness:

• Familiarity with HIPAA, GDPR, and other data privacy regulations within regulated healthcare or life sciences environments.

• Bachelor's degree in a STEM field with 5+ years of relevant experience or an advanced degree (MS/MPH) in a STEM field with 3+ years of experience.
• Demonstrated competence in data visualization, statistics, software engineering, product development, data modeling/querying, and/or data integration/harmonization.
• Evidence of relevant expertise, such as presentations, software, technical publications, or portfolio of applications.

• Experience in pharmaceutical or biotech industries, particularly in Real-World Evidence (RWE) or clinical trial data analytics.
• Knowledge of FAIR data principles and ontology standards like SNOMED, LOINC, or ICD-10.
• Experience interacting with HEOR, RWE, or Medical Affairs stakeholders in pharma or life sciences.

• Deliver high-quality data assets and analytics outputs that enhance the usability of RWD.
• Develop actionable insights that drive internal decision-making and external collaborations.
• Contribute to Labcorp's mission to improve patient outcomes by enabling better understanding of oncology patient journeys.

Employees regularly scheduled to work 20 or more hours per week are eligible for…