Data Scientist Leader
4 weeks ago
Job Summary
We are seeking a highly motivated Data Scientist Leader to join our Real World Data (RWD) Informatics group at Labcorp. As a key member of our team, you will be responsible for leading the analysis of complex, multi-modal RWD assets to drive internal insight generation and collaborative research.
Key Responsibilities
- Act as an expert resource for the RWD Informatics team and the broader company for RWD insight generation, analytical techniques, data limitations, and requirements to enhance and interrogate Labcorp's RWD assets.
- Supervise and perform the analysis of complex, multi-modal RWD assets to drive internal insight generation and collaborative research.
- Ensure the delivery of data payloads in fulfillment of contracted RWD commercial activities.
- Oversee the development, testing, and deployment of dashboards and analytics user interfaces supporting a variety of use cases and internal and external users.
- Represent analytical stakeholders as we identify, prioritize, and integrate additional RWD assets.
- Own the implementation of end-to-end data quality metrics to ensure that data pipelines are operational and data is being processed as expected.
- Function as a mentor for junior team members, driving team upleveling and adoption of best practices in data science and adoption of the latest methodologies.
- Contribute strategic input into the data asset roadmap, helping to align the needs of the analytics team with the broader data asset development.
- Work collaboratively with broader IT organization to ensure that infrastructure and tooling meets the needs of the RWD analytics team.
- Push recognition of Labcorp as an industry leader of both creation and utilization of RWD via publication and/or conference presentations.
Requirements
- Requires an advanced degree (MS/MD/MPH/PhD) in a STEM field with 5 years of relevant 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 in the form of presentations, software, technical publications, and/or knowledge of applications.
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