Senior Quantitative Researcher, Federal Health Program Implementation and Evaluation

At Commence were 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.

The Senior Quantitative Researcher Alternative Payment Model Implementation and Evaluation plays a pivotal role in the implementation and operation of healthcare programs and initiatives the generation of actionable insights that inform decision-making for federal agencies such as the CMS Innovation Center (CMMI) and Commences growth in federal health research.

This position plays a key role in the design and execution of implementation operations and evaluation tasks for CMS/CMMI alternative payment models (APMs).

Working closely with Commences data science and technology teams the Sr. Researcher conducts analytics tasks related to model implementation and evaluation by leveraging the capabilities of the Commence platform driving greater efficiency and deeper insights.

The ideal candidate combines hands-on implementation and/or evaluation experience on CMS/CMMI APMs with strong analytical skills a strategic mindset attention to detail and the flexibility to move between implementation and evaluation work.

• Translate 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.
• 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.

Qualifications

• Ph.D. in economics health services research health policy public health or a related field with 4 years of relevant experience; or a Masters 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.

Preferred Skills and Competencies

• Experience with Databricks or other cloud analytics platforms and with Power BI Tableau or similar.
• Proficiency in SAS R Python or SQL.
• Must be authorized to work in the U.S. and able to obtain and maintain a CMS-required background investigation (public trust).

Work Environment/Physical Demands

The work environment and physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This is a remote position. Occasional travel to the Baltimore/Washington DC area for client meetings orals and team events. While performing the duties of this job the employee regularly works in a climate-controlled environment. Candidates must be able to sit read work on a computer and watch a computer screen for extended periods of time. Occasionally required to stand walk use hands and fingers kneel or crouch. Extended hours may be needed around proposal deadlines and key deliverables.

*Commence headquarters are in Virginia Beach VA however we are open to remote candidates in the following states: AZ AR CO DE FL GA IL IN KS KY MA MD MI MS MO MT NC NE NV NY OH OK PA SC TN TX VA DC WI WA and WV*

Commence is an equal employment opportunity employer. All personnel processes are merit-based and applied without discrimination on the basis of race color religion sex sexual orientation gender identity marital status age disability national or ethnic origin military and veteran status or any other characteristic protected by applicable law.

Commence is committed to providing equal employment opportunities to all applicants including individuals with disabilities. If you require a reasonable accommodation to participate in the application process due to a disability please contact Human Resources at or Please note that unless you are requesting an accommodation all applications must be submitted through our online application system.