Labcorp

Senior Data Scientist

Labcorp

full-time

Posted on:

Location Type: Hybrid

Location: Durham • North Carolina • United States

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Job Level

Senior

Tech Stack

AWSAzureCloudPythonSQLTableau

About the role

  • 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.

Requirements

  • 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.
  • Must be able to provide evidence of relevant expertise, such as presentations, software, technical publications, or portfolio of applications.
  • Life sciences or healthcare related data exposure or experience.
  • 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 expertise in managing projects using Agile methodologies, including sprint planning, retrospectives, and DevOps practices.
  • Strong sense of ownership over projects and ability to deliver outcomes that align with organizational goals.
  • Demonstrated ability to influence without authority and communicate with cross-functional stakeholders.
  • Familiarity with HIPAA, GDPR, and other data privacy regulations, particularly within regulated healthcare or life sciences environments.
Benefits
  • Medical
  • Dental
  • Vision
  • Life
  • STD/LTD
  • 401(k)
  • Paid Time Off (PTO) or Flexible Time Off (FTO)
  • Tuition Reimbursement
  • Employee Stock Purchase Plan
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data visualizationstatisticssoftware engineeringdata modelingdata queryingdata integrationPythonSQLdata pipeline designLarge Language Models
Soft Skills
collaborationeffective communicationmentoringproject managementinfluencing without authorityownershipguidancetroubleshootingresource allocationteam responsibility