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Digital Quality Measures Lead

American Institutes for Research
CompanyAmerican Institutes for Research
CategoryUncategorised
LocationUS-Remote
RemoteRemote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted3 Aug 2026
Last verified7 Aug 2026
SourceEmployer ATS (greenhouse)
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Description
  AIR's Quality Measurement & Improvement (QM&I) portfolio is seeking a part-time  Fast Healthcare Interoperability Resources (FHIR) / Digital Quality Measures Lead to serve as a senior technical authority on our federally funded eCQM development contracts. This role sets technical direction for FHIR-based digital quality measure (dQM) specification work, serves as the primary technical point of contact with CMS and other clients for topics related to digital quality measurement, including FHIR, and is responsible for mentoring a small team of measure developers and analysts. The ideal candidate has hands-on experience translating clinical quality measures into CQL and FHIR-based specifications and is comfortable operating across the full dQM lifecycle, from measure concept through annual maintenance updates. This position sits within AIR's Quality Measurement & Improvement portfolio, which supports CMS accountability and quality reporting programs across clinician, hospital, and post-acute/nursing home settings. You will work closely with QM&I leadership to grow the organization's technical capability in FHIR-based digital quality measurement.  Engagements are typically project-based, part-time, and may vary in duration and hours depending on project needs. Candidates hired for the position may work remotely within the United States (U.S.) or from one of our  U.S. office locations.  This does not include U.S. territories.   About AIR: Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. Mission-focused and evidence-driven, AIR applies rigorous research and technical expertise to close gaps in opportunity and access, improving lives across communities and systems. Responsibilities: The responsibilities for the position include: Guide the organization's transition from QDM-based eCQMs to FHIR-based dQMs, including alignment with US Core and QI-Core implementation guides. Represent AIR in relevant HL7 workgroups to stay current on evolving FHIR-based quality measurement standards. Partner with AIR's broader capability to align FHIR/interoperability practices across projects. Oversee quality of work completed by and communicate guidance to subcontractors assigned to create FHIR-based specifications. Lead technical team authoring FHIR-based dQMs in MADiE, including troubleshoot logic, terminology, and value set issues, reviewing MADiE output, and ensuring alignment with US Core and QI-Core implementation guides. Manage the updates of dQMs as a part of the Annual Update cycle. Provide day-to-day technical leadership and mentorship to measure developers and analysts; review work products for accuracy and consistency. Vet and evaluate technical partners and platforms for proposal efforts. Contribute to technical approach, staffing plans, and level-of-effort estimates for standards-based RFPs across a range of federal clients. Serve as AIR’s FHIR standard expert on CMS eCQM contracts, representing AIR in client meetings, technical expert panels, and standards workgroups. Build and maintain strategic partnerships with public agencies, nonprofits, philanthropic organizations, and academic institutions.  Contribute to AIR’s organizational learning by sharing insights, innovations, and lessons learned from TA practice.  Qualifications: Education, Knowledge, and Experience: Master’s degree in health informatics, computer science, public health, nursing, or a related field with a minimum of 11 years of or relevant experience. 7+ years of experience in health care quality measurement, with direct, hands-on experience authoring QDM-based eCQMs and FHIR-based dQ