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Clinical Data Scientist II (Multiple Openings)
Clinical Data Scientist II (Multiple Openings)-February 2024
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Feb 11, 2026
About Clinical Data Scientist II (Multiple Openings)

  Serve as consulting analyst and subject matter expert to our key strategic clients. Analyze commercial and Medicare healthcare claims, pharmacy claims, proprietary Teladoc Health data, and other types of data to understand which programs work for which clients - and why. Identify members who are at risk for poor health outcomes or increased medical spending to drive improvement actions Conduct comprehensive quality checks on incoming data to ensure reasonability and accurate results. Efficiently and accurately conduct program evaluations using propensity score matching and/or regression techniques to adjust for potential confounding factors. Develop metrics and set targets and thresholds using benchmark data. Develop early warning insights and analytics from end-to-end, including advising on required data sources, developing metrics, benchmarks, and reporting. Engage with stakeholders to identify key analytic questions or develop hypothesis related to outcomes drivers. Clearly and succinctly communicate key insights to stakeholders with varied backgrounds in a refined and professional way. Help Teladoc Health shape and target our product development through a better statistical understanding of our members, including segmentation. Play lead role to develop cost and utilization performance report, understand quality outcome, and help drive successful outcome for our members across the spectrum of care. Telecommuting: 100% Telecommuting.REQUIREMENTS: This position requires a bachelor’s degree, or foreign equivalent, in Epidemiology, Business Analytics, Data Science, Biostatistics, or a related field plus 2 years of experience as a Healthcare Analyst or Data Scientist. Alternatively, employer will also accept a master’s degree, or foreign equivalent, in Epidemiology, Business Analytics, Data Science, Biostatistics, or a related field plus 1 year of experience as a Healthcare Analyst or Data Scientist. Additionally, the applicant must have employment experience with: (1) Analytics, Medicare data, including HEDIS, Star Ratings, or Risk Adjustment; (2) Data domain in cost and utilization analytics metrics, methods, and frameworks via medical/pharmacy claims data, and prediction/ML data science tools. (3) Healthcare industry, including managed care organizations, pharmaceutical benefit management organizations, government systems, hospital systems and integrated care systems; (4) R, SQL, Python or other statistical software packages. (5) Claims data, observational health data, and the practice of medical coding. (6) Disease areas (e.g., DM, hypertension, weight management etc..), healthcare utilization/treatment pathways, and innovative health financing topics (e.g., value-based care); (7) Conducting time-sensitive ad-hoc data analysis for internal or external requests on data anomalies and interpretation of clients' utilization, creating dashboards and visualizations to support compelling story telling, and quickly producing sustainable production grade code and tools usable by others.

  Minimum Salary: 108306Maximum Salary: 136000Salary Unit: Yearly

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