Our client is currently seeking a Data Scientist, Healthcare Economics and Value Bas

Role Description:

Purpose of the role: Improve the quality, credibility, and usefulness of our client reporting. The role brings a healthcare economics or value based care background so that what we report to clients reflects sound methodology: risk adjustment, attribution, utilization and cost trend, and defensible savings and outcomes measurement.

Key responsibilities

• Design and improve the analytics behind client reporting, including cost of care trend, utilization, program impact, and return on investment.

• Build and validate measurement methodology such as risk adjustment, cohort construction, attribution logic, and comparison group design.

• Turn analytic output into reporting that a client audience can read and trust, partnering with client facing teams on narrative and presentation.

• Document methodology so results can be explained, audited, and reproduced.

• Partner with data engineering and the data architect on the models and data assets reporting depends on.

• Investigate anomalies and questions raised by clients or internal stakeholders and close them with evidence.

Required qualifications

• 5 or more years of analytics or data science experience in healthcare, with direct exposure to healthcare economics, actuarial analytics, or value based care measurement.

• Strong SQL plus Python or R for analysis and modeling.

• Working knowledge of medical and pharmacy claims data, including standard code sets and common data quality pitfalls.

• Demonstrated ability to explain methodology and findings to non technical audiences.

Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.

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