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Commence

Transforms health data into AI-ready insights

Principal Quantitative Researcher - Federal Health Program Implementation and Evaluation

Social & Behavioral SciencesConfirmed live in the last 24 hours
Full-timeWashington, DC, USA$160k - $200k /yr

About the Job

Requirements

  • A Ph.D. in economics, health services research, health policy, public health, or a related field with 9+ years of relevant experience; or a Master’s degree with 13+ years.
  • Hands-on experience implementing and/or evaluating CMS/CMMI alternative payment models.
  • Working knowledge of at least two of the following: participant screening and monitoring, beneficiary attribution, payments and financial incentive design, quality measurement, comparison group design, quasi-experimental evaluation methods (difference-in-difference and event study), and mixed methods.
  • Experience with Medicare and/or Medicaid administrative and claims data, such as CCW, IDR, or VRDC.
  • Clear and concise writing for federal audiences and proposal-writing experience.
  • Experience leading main tasks or projects and managing and mentoring staff.
  • Must be authorized to work in the United States and able to obtain and maintain a CMS-required background investigation (public trust).

Responsibilities

  • Lead the translation of model design documents and policy goals into operational methodologies and specifications using Medicare and Medicaid claims, enrollment, and programmatic data, as well as other data sources including surveys and census data.
  • Lead the development, refinement, and implementation of value-based care methodologies, including participant screening and monitoring; beneficiary attribution; payment mechanisms, benchmarking and financial adjustments including risk adjustment; and selection, adaptation, and scoring of quality measures.
  • Lead the design and execution of evaluations, including monitoring methodologies, comparison groups such as propensity score matching and synthetic controls, and quasi-experimental designs such as difference-in-differences and event studies to estimate impact on healthcare spending, utilization, and quality.
  • Partner with economists, data scientists, and engineers to conduct research, create prototypes, and apply machine-learning-based methods on the Commence platform to develop novel approaches to implementation and evaluation work.
  • Lead the writing of methodology documents, evaluation reports, and briefings for CMMI model teams, turning findings into clear, actionable recommendations.
  • Lead the design and writing of technical approaches for CMS/CMMI and other federal agency proposals and serve in key project roles; 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.

Desired Qualifications

  • Experience implementing and evaluating CMS/CMMI alternative payment models; experience with both is preferred.
  • Experience with Databricks or other cloud analytics platforms and with Power BI, Tableau, or similar.
  • Proficiency in SAS, R, Python, or SQL.

About the Company

Commence

Transforms health data into AI-ready insights

Commence transforms unstructured health data from sources like medical records, claims, and clinical notes into structured, AI-ready data to support decision making. Its flagship Amplify platform combines Capture (digitize and standardize records), Review (AI-classified and summarized clinical data), and Clarity (patterns and risks) to create reusable workflows that can be used separately or together. The company differentiates itself by pairing this data work with expert oversight from over 500 licensed clinicians and serving a mix of federal health agencies (CMS, VA, DHA), state/local governments, and commercial partners. Its goal is to improve healthcare outcomes by turning data into actionable insights through an interoperable data-to-decision platform.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Virginia Beach, VA
Founded
Not listed

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