Data Scientist shaping the future of customer management using advanced machine learning technologies at Capital One. Collaborating with cross - functional teams to enhance data - driven strategies.
About the role
- Real-World Data Senior Data Scientist leveraging oncology data to drive insights for Labcorp’s initiatives. Collaborating with software engineers and clinicians to extract clinical insights from complex data assets.
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.
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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