Senior Data Scientist II – Health Care Analytics - Chicago, DC or Remote

JOB SUMMARY:

The Health Care Evaluation Research Department at NORC seeks a Senior Data Scientist II. In this role, the Senior Data Scientist II will lead analytic work using large administrative and claims-based data to support the implementation, evaluation, and ongoing monitoring of CMS Innovation Center (CMMI) models, Medicare and Medicaid programs, and related payment and delivery system reforms. The position emphasizes technical leadership, analytic execution, and deep familiarity with CMS data systems, and includes mentoring data analysts and data scientists while collaborating closely with other project leaders, policy researchers, economists, and methodologists.

At NORC, you will work alongside nationally recognized experts supporting some of the most significant health care reforms in the country.

This role offers the opportunity to apply deep technical expertise to CMS Innovation Center models and Medicaid initiatives, lead analytic contributions to new business efforts, manage complex work streams, and mentor others within a mission-driven, nonpartisan research organization. The Data Science job family exists across multiple departments at NORC and provides advanced analytical expertise for a portfolio of research and evaluation projects.

The Senior Data Scientist II (SDS II) plays a strategic, hands-on role in delivering high-quality analytics for complex health care initiatives by leading large-scale data efforts, providing technical leadership to multidisciplinary teams, establishing resources and best practices for health care data work across NORC, and taking leadership on relevant business development initiatives. Work Location NORC supports hybrid work arrangements for this position in either our Washington, DC or Chicago, IL offices.

Remote work status may be considered for outstanding candidates. Occasional travel may be required based on project needs and client meetings. Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. DEPARTMENT:
Health Care Evaluation Research NORC’s Health Care Evaluation Research department conducts advanced analytics and evaluations for Medicare, Medicaid, and commercial insurance programs. NORC’s health work supports the implementation, monitoring, and evaluation of health care payment and delivery reforms, with a particular emphasis on CMS Innovation Center (CMMI) models, state Medicaid demonstrations, and other federal health projects across Health and Human Services, states, and foundations.

RESPONSIBILITIES:
Lead advanced analytic work supporting the implementation, evaluation, and monitoring of CMS Innovation Center (CMMI) models, including alternative payment models and delivery system reforms. Lead projects and manage major project work streams including but not limited to advanced analytic work supporting the implementation, evaluation, and monitoring of CMS Innovation Center (CMMI) models, including alternative payment models and delivery system reforms. Apply claims-based and administrative data to assess program operations, utilization, quality, access, and cost across Medicare, Medicaid, and commercial populations.

Lead analyses using Medicaid T-MSIS (including TAF), state Medicaid claims and encounter data, Medicare fee-for-service claims, Medicare Advantage encounter data, and Medicare Part D prescription drug data. Access and analyze data in CMS secure data environments, including CCW/VRDC and, as appropriate, Model Space, IDR, and other CMS data platforms. Lead data acquisition, ingestion, cleaning, transformation, linkage, and harmonization for large and complex health care datasets.

Develop and implement quality assurance protocols, documentation standards, and reproducible analytic workflows. Serve as a technical lead and mentor to data analysts and data scientists. Lead or co-lead analytic and data-focused components of business development efforts, including proposal writing and capture discussions.

REQUIRED SKILLS:

Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Public Health, or a related field. At least…