Senior Advisor - Model Evaluation

Appointment Type: Temporary (Temp)

Location: Remote

*Salary Range: $85.00/Hour - $96.59/Hour

ORAU is seeking a Fully Remote, Senior Advisor- Model Quality and Evaluation, Subject Matter Expert to work with CMMI as an ORAU employee. This exciting work will last 3 months or more. This position is part-time.

CMMI was established by Congress in 2010 to identify ways to improve healthcare quality and reduce costs in the Medicare, Medicaid, and Children's Health Insurance (CHIP) programs. Following this charge, CMMI, through its models, initiatives and congressionally mandated demonstrations, has accelerated the shift from a health care system that pays for volume to one that pays for value.

Section 1115A of the Social Security Act authorized the CMS Innovation Center to design, test, and expand innovative payment and delivery models that reduce or maintain costs while maintaining or improving quality of care. The statute requires that the CMMI evaluates delivery and payment models to determine their impact on spending and quality of care. The robust design of model evaluations is critical for model expansion and ultimately to the mission of the CMMI

Provide expert advice and input on model evaluation consistent with policy goals and statutory authority.
• Collaborate with CMMI to ensure evaluation designs meet expectations for rigor and certification.
• Bridge the gap between policy and evaluation teams to inform decision-making on trade-offs between optimal policy design and rigorous evaluation.
• Design evaluation strategies that are consistent with policy goals, legal, methodological considerations, statutory authority, and expectations for certification.
• Inform decision-makers on trade-offs between policy, political, and model evaluation considerations.
• Provide expert advice, input, and substantive comments on model evaluation design plans.
• Draft manuscripts for the dissemination of evaluation findings.

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.