Senior Quantitative Researcher - CMMI Evaluations

Join AIR as a Senior Quantitative Researcher – CMS Innovation Center (CMMI) Evaluations with our Healthcare Innovations team. Our team works collaboratively to unravel the intertwined challenges of health care quality, costs, and access. Our team of experts – nurses, physicians, psychologists, economists, sociologists, data scientists, and public health experts – advance evidence and save lives by leading rigorous research and evaluation; results-driven technical assistance and training; and leading-edge data science and technology tools.

This position has the flexibility to 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. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

Responsibilities:

• Supports business development activities for CMS and CMMI, including capture planning, client engagement, opportunity shaping, proposal development, and strategic growth initiatives.
• Serves in leadership roles (e.g. task or workstream lead, deputy project director) for complex evaluations of Medicare payment and service delivery models, ensuring task execution, quality of task deliverables, staffing, and client relationships.
• Provides technical leadership for evaluations of CMMI models and demonstrations, including technical expertise with quasi-experimental designs, mixed-methods research, Medicare and/or Medicaid claims analyses, analysis of EHR data, beneficiary and provider outcomes, and sub-group analyses.
• Effectively coaches and manages others to promote their development; sets developmental goals and measurements for staff.
• Fosters an environment that values a wide range of perspectives, experiences, backgrounds, and individual strengths.

Qualifications:

Education, Knowledge, and Experience

• Ph.D. in Economics, Health Services Research, Quantitative Psychology, or a related field with 3+ years of relevant experience or Master’s degree with 7+ years of relevant experience.
• Minimum of 2 years experience managing task or workstreams within a larger project.
• Served in a project leadership role (e.g., Deputy Project Director, Task Lead, or similar) on one or more CMMI model evaluation contracts.
• Demonstrated success leading or contributing to winning proposals for CMS, AHRQ, or other HHS agencies.
• Extensive knowledge of Medicare payment policy, Medicare Advantage, and/or Medicaid.
• Knowledge of Medicare claims, provider claims, survey data, EHR data, and publicly available datasets.

 Skills

• Demonstrated ability to build and maintain relationships with federal clients and partners.
• Ability to communicate complex evaluation findings to technical and non-technical audiences.
• Must possess strong leadership, organizational, and interpersonal skills at a senior level.
• Ability to lead teams, especially for business development activities as part of pre-RFP planning and design, and through proposal response.
• Extensive success in writing, conceptualizing, analyzing, and consulting on large-scale federally funded projects.
• Attention to detail and commitment to accuracy when writing.
• Command of appropriate protections and handling of data sets containing PHI/PII

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 any characteristic protected by applicable federal, state or local law, including, but not limited to, actual or perceived race (including traits historically associated with race, such as hair texture, hair type, and protective hairstyles such as braid, locs, and twists), creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability, medical condition (e.g., cancer), sex, gender, gender identity or expression (including transgender status), sexual orientation, marital status, civil union status, pregnancy, childbirth or related medical conditions, genetic information, or military or veteran status. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment. 

ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at [email protected] or call 202.403.5000.

Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an “@air.org” domain. Please take extra caution while examining the email address, for example [email protected] is correct and [email protected] is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out to [email protected]. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) at ReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams.

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Anticipated Annual Salary Range 120000 - 150000 USD