Remote Senior Quantitative Researcher, APM Analytics

Commence; Arkansas City (KS); Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Remote work

Travel opportunities

Job summary

Commence is seeking a Senior Quantitative Researcher (remote) to implement and evaluate CMS/CMMI alternative payment models, translate policy goals into data-driven methodologies, and drive rigorous evaluations using Medicare/Medicaid data. You will work with economists, data scientists, and engineers to apply ML-based methods on the Commence platform and mentor junior staff.

The role requires a PhD with 4+ years of relevant experience or a Master’s with 8+ years, strong federal writing skills,

Qualifications

• 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 implementing and/or evaluating CMS/CMMI alternative payment models; experience with both implementation and evaluation is preferred.
• Working knowledge of at least two of: participant screening and monitoring, beneficiary attribution, payments and financial incentive design, quality measurement, comparison group design, and quasi-experimental evaluation methods (difference in difference, event study).
• 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.

Responsibilities

• Translate model design documents and policy goals into operational methodologies and specifications using Medicare and Medicaid claims, enrollment, and programmatic data.
• Implementation: Develop, refine, and implement value-based care methodologies, including participant screening and monitoring; beneficiary attribution; payment mechanisms, benchmarking and financial adjustments including risk adjustment; selection, adaptation, and scoring of quality measures.
• Evaluation: Design and conduct evaluations, including monitoring methodologies, comparison groups (e.g., propensity score matching, synthetic controls) and quasi‑experimental designs (e.g., difference‑in‑differences, 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 ML‑based methods on the Commence platform to develop novel approaches to conduct implementation and evaluation work.
• Lead and collaborate on the development of methodology documents, evaluation reports, and briefings for CMMI model teams, turning findings into clear, actionable recommendations.
• Lead and collaborate on the design and write 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.

Skills

Databricks

Power BI

Tableau

ML methods

Python

R

SQL

Cloud analytics

Education

PhD in economics/health policy/related field

Master's degree + 8+ years

Tools

SAS

R

Python

SQL

Job description

Commence is seeking a Senior Quantitative Researcher (remote) to implement and evaluate CMS/CMMI alternative payment models, translate policy goals into data-driven methodologies, and drive rigorous evaluations using Medicare/Medicaid data. You will work with economists, data scientists, and engineers to apply ML-based methods on the Commence platform and mentor junior staff.

The role requires a PhD with 4+ years of relevant experience or a Master’s with 8+ years, strong federal writing skills,