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.
Requirements
- 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.
- 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.
Work Arrangement
Remote (Worldwide)
Other
- Part-time, temporary role expected to last 8 months or longer.
- Fully remote position.