Senior Quantitative Researcher, APM Monitoring (Remote)

Commence; Washington (District of Columbia); Hybrid; USD 165,000 - 210,000; Full time

Job summary

Commence seeks a Principal Quantitative Researcher to design and execute monitoring for CMS/CMMI alternative payment models, translating model designs into actionable specifications and real-time dashboards.

You will lead cross-functional teams, mentor junior researchers, and deliver reports and proposals to federal clients, leveraging Databricks, Power BI, SAS, R, Python and SQL to drive improvements in health care quality and value. Remote with occasional travel to the DC area.

Qualifications

• 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.

Responsibilities

• Lead the translation of 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.
• Lead the write-up of monitoring reports, briefings, and risk summaries for CMMI model teams, turning findings into clear, actionable recommendations
• Lead the design and write up of technical approaches for CMS/CMMI and other federal agency proposals and serve in key project roles.
• Lead the identification and implementation of monitoring methods to our quality measurement and payment incentive work for CMS and state partners; mentor junior researchers and analysts.
• Effectively 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

SAS

R

Python

SQL

Education

Ph.D. in economics/health services research/health policy/public health or related field

Master’s degree

Tools

Databricks

Power BI

Tableau

SAS

R

Python

SQL

Job description

Commence seeks a Principal Quantitative Researcher to design and execute monitoring for CMS/CMMI alternative payment models, translating model designs into actionable specifications and real-time dashboards.

You will lead cross-functional teams, mentor junior researchers, and deliver reports and proposals to federal clients, leveraging Databricks, Power BI, SAS, R, Python and SQL to drive improvements in health care quality and value. Remote with occasional travel to the DC area.