Clinical Quality Measure Associate

AIR is seeking a Clinical Quality Measure Associate to join AIR’s Health Transformation Team. We work to advance equitable, high-quality, affordable, patient-centered care through rigorous research, evaluation, and technical assistance that focuses on what matters most to patients, families, clinicians, and the broader healthcare community.

We have a strong focus on quality measurement to ensure patients receive safe, equitable care. We also translate research evidence to promote understanding and adoption of best practices by patients, families, caregivers, physicians, nurses, insurers, health systems leaders, and policymakers. In addition, our expertise includes promoting evidence-based care for a range of clinical conditions; improving patient safety; and engaging patients and family members in the delivery of care.

Candidates hired for this position may work remotely within the United States 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. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

Responsibilities:

The responsibilities for the position include:

• Contribute to the design, development, testing, and maintenance of electronic clinical quality measures (eCQMs) using Clinical Quality Language (CQL). Ensure these measures are aligned with the Quality Data Model (QDM) and Fast Healthcare Interoperability Resources (FHIR) standards. Key responsibilities include authoring measure headers, defining logic, developing test cases, and constructing value sets.
• Program, develop and test logic for QDM-based and FHIR-based eCQMs.
• Review and provide feedback on eCQMs published annually by CMS.
• Contribute to defining user requirements, designing measure test plans, and testing strategies for digital quality measurement and digital quality health related projects and tasks.
• Contribute to quality measure maintenance activities, such as expert workgroup coordination and facilitation, performance data review, and implementer feedback reviews, to inform measure updates.
• Contribute to meetings with project teams and clients through agenda preparation and notetaking.

Qualifications:

Education, Knowledge, and Experience

• Bachelor’s degree and 3-5 years of related experience or equivalent education.
• Knowledge of the QDM, QI-Core, and MMS Blueprint and how each relates to quality measure development and maintenance.
• Experience using CQL and FHIR.
• Familiarity with measure development tools such as MADiE and Value Set Authority Center.
• Knowledge of electronic health records and clinical workflows in physician practices or other healthcare settings.

Skills

• Strong attention to detail and commitment to accuracy.
• Excellent time management skills, ability to prioritize projects and to consistently meet deadlines.
• Ability to work independently and in a team environment to design, analyze, and report on research projects.
• Proficiency with Microsoft Office Suite or the equivalent (word processing, spreadsheets, email and calendar management, presentation software).
• Excellent interpersonal skills to ensure effective communication with individuals at all levels and from diverse backgrounds.
• Comfortable working across a virtual/dispersed work environment.

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.

American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of age, race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disabi