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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.
- Collaborate to ensure evaluation design meets expectations for rigor and certification.
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.
ORAU
ORAU provides scientific and technical support to help federal agencies achieve their missions. As an employee-owned company with a focus on culture, ORAU offers part-time, temporary roles like this one for the CMMI project.