Senior Evaluation - Payment Model Evaluation

Overview

Position Title: Senior Advisor – Payment Model Evaluation  International Drug PricingProject Supported: Evaluation and Model DesignEffort: 10–20 hours/weekWork Location: Remote Salary: $89.00 - $95.00 per hour

ORAU is seeking a fully remote Senior Advisor – Payment Model Evaluation to support the Centers for Medicare and Medicaid Services Innovation Center (CMMI) as an ORAU employee. This is a part-time, temporary role expected to last 8 months or longer.  

Responsibilities

• Offer expert advice and input on model evaluation design, ensuring alignment with policy goals and statutory requirements.
• Conduct data analyses to understand prevalence of conditions, refine definitions of target populations, measure cost and quality, and perform power calculations to inform model evaluation design.
• Collaborate to ensure evaluation design meets expectations for rigor and certification.
• Provide expert advice bridging policy, model design, and evaluation to inform decision-making on trade-offs between optimal policy, model design, and rigorous evaluation.
• Attend meetings and provide substantive input regarding model evaluation strategies and plans

Qualifications

• Qualifications:

  • Ph.D. in Health Policy, Public Policy, Health Services Research, Economics, Advanced Quantitative Methods, or a relevant field.
  • 10+ years of experience in claims data analysis, causal inference methods, econometrics, measurement of cost, and study design.
  • In-depth familiarity with Medicare or Medicaid payment policy.

   

• Skills and Competencies:

  • Strong command of claims data analysis, causal inference methods, econometrics, measurement of cost, and study design.
  • Excellent communication and collaboration skills to work effectively with policy and evaluation teams.
  • Ability to provide expert advice and input on complex model evaluation designs.
  • Strong analytical and problem-solving skills to inform decision-making on trade-offs between policy design and model evaluation.