Labcorp · 3 hours ago
Senior Data Scientist
Durham, NC
Full-time
Hybrid
Senior Level
5+ years expLabcorp is implementing an exciting new 'big data' approach to cancer testing, integrating test results from their national oncology testing business into an enterprise data warehouse. They are seeking a highly motivated Senior Data Scientist to join their Real World Data Product Development group, where the role involves extracting clinical insights from oncology real-world data and collaborating with cross-functional teams.
BiotechnologyHealth CareHospitalLife ScienceMedicalPrecision Medicine
Responsibilities
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
Qualification
Required
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
Preferred
Prior experience in pharmaceutical or biotech industries, particularly in RWE (Real-World Evidence) 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 at pharmaceutical or life sciences companies
Benefits
Medical
Dental
Vision
Life
STD/LTD
401(k)
Paid Time Off (PTO) or Flexible Time Off (FTO)
Tuition Reimbursement
Employee Stock Purchase Plan
Company
Labcorp
Labcorp specializes in providing physicians with laboratory tests.
10001+ employees
H1B Sponsorship
Labcorp has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (1)
Funding
Current Stage
Public CompanyTotal Funding
$2.85B2024-09-16Post Ipo Debt· $2B
2019-06-04Post Ipo Debt· $850M
1988-07-15IPO
Leadership Team
Adam Schechter
President and Chief Executive Officer
Bill Haas
SVP, Northeastern US and Canada, Labcorp Diagnostics
Recent News
2026-02-03
2026-01-22
Company data provided by crunchbase