Principal Quantitative Researcher – Federal Health Programs

🕒 October 13

🌵 Arizona, Colorado, +24 more states – Remote

🌵 Arizona – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote 🦬 Montana – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote

💵 $160k - $200k / year

⏰ Full Time

🔴 Lead

👻 Ghost score 0%

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Commence

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

🏛️ Government

🤖 Artificial Intelligence

Healthcare • Government • Artificial Intelligence

Commence is a healthcare data and technology company that delivers data-centered solutions to make health data more accessible, discoverable, and interoperable. The company pairs clinical expertise with AI-driven data transformation and a technology platform to address fraud, waste & abuse, independent dispute resolution, peer and independent reviews, quality improvement, and patient advocacy. Commence serves federal health agencies (CMS, VA, Defense Health Agency), state & local government programs, and commercial health customers, focusing on improving outcomes, accuracy, and program integrity.

📋 Description

• Lead the design and execution of monitoring for CMS/CMMI alternative payment models • Translate model design documents and participation agreements into monitoring specifications using Medicare claims, enrollment, and participant-reported data • Design monitoring frameworks covering 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, ML-based anomaly detection, and early-warning signals on the Commence platform • Lead monitoring reports, briefings, and risk summaries for CMMI model teams • Turn findings into clear, actionable recommendations • Lead technical approaches for CMS/CMMI and other federal agency proposals and serve in key project roles • Lead monitoring methods for quality measurement and payment incentive 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 products are delivered on time and within budget

🎯 Requirements

• 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 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 • Experience leading major tasks or projects and managing and mentoring staff • Must be authorized to work in the U.S. • Able to obtain and maintain a CMS-required background investigation (public trust) • Preferred: Experience with Databricks or other cloud analytics platforms and with Power BI, Tableau, or similar • Preferred: Proficiency in SAS, R, Python, or SQL • Ability to sit, read, work on a computer, and watch a computer screen for extended periods • Occasionally able to stand, walk, use hands and fingers, kneel or crouch

🏖️ Benefits

• Remote position • Occasional travel to the Baltimore/Washington, DC area for client • Reasonable accommodations for individuals with disabilities • Equal employment opportunity and nondiscrimination • Extended hours may be needed around proposal deadlines and key deliverables

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