Senior Quantitative Researcher - Federal Health Program

Commence•Washington, DC

6d•$130,000 - $160,000•Remote

About The Position

At Commence, we’re the start of a new age of data-centric transformation, elevating health outcomes and powering better, more efficient process to program and patient health. We combine quality data-driven solutions that fuel answers, technology that advances performance, and clinical expertise that builds trust to create a more efficient path to quality care. With human-centered, healthcare-relevant, and value-based solutions, we create new possibilities with data. We provide proof beyond the concept and performance beyond the scope with a focus on efficiencies that transform the lives of those we serve. With a culture driven by purpose, straightforward communication and clinical domain expertise, Commence cuts straight to better care.

Requirements

Ph.D. in economics, health services research, health policy, public health, or a related field with 4+ years of relevant experience; or a Master’s degree with 8+ years.
Hands-on experience monitoring CMS/CMMI alternative payment models.
Working knowledge of APM and value-based care mechanics: beneficiary attribution, quality scoring, capitated payments, bundled payments, financial incentives, benchmarking, risk adjustment.
Experience with Medicare and/or Medicaid administrative and claims data (e.g., CCW, IDR, VRDC).
Clear and concise writing for federal audiences; proposal-writing experience.
Must be authorized to work in the U.S. and able to obtain and maintain a CMS-required background investigation (public trust).

Nice To Haves

Experience with Databricks or other cloud analytics platforms and with Power BI, Tableau, or similar.
Proficiency in SAS, R, Python, or SQL.

Responsibilities

Translate model design documents and participation agreements into monitoring specifications using Medicare claims, enrollment, and participant-reported data.
Design monitoring frameworks for CMMI models: logic models, measures, data sources, benchmarks, analytic methods, and reporting.
Detect and investigate unintended consequences such as risk selection, coding intensity, care stinting, and shifts in referral or site-of-care patterns.
Partner with data scientists and engineers to build dashboards, automated reporting, and ML-based anomaly detection and early-warning signals on the Commence platform.
Write monitoring reports, briefings, and risk summaries for CMMI model teams, turning findings into clear, actionable recommendations.
Design and write technical approaches for CMS/CMMI and other federal agency proposals and serve in key project roles.
Apply monitoring methods to our quality measurement and performance-reporting work for CMS and state partners; mentor junior researchers and analysts.
Manage teams, set priorities, coordinate tasks, engage clients and stakeholders, and ensure high-quality reports and products are delivered on time and within budget.