Policy Analytics and Modeling group provides analytic support and advisory services to a wide range of clients across the healthcare industry. Staff combine an in-depth understanding of quantitative methods with deep subject matter expertise regarding healthcare policy and business issues.
This group focuses on a range of issues including:
- Medicare & Medicaid payment policies and regulations
- Alternative payment models (e.g. Medicare Oncology Care Model, Accountable Care Organizations, bundled payments)
- Federal budget forecasting and scoring models
- Drug pricing reform
- Federal program specific analyses, such as Part D spending trends and Medicare Advantage risk adjustment and payment modeling
- Health sector economic analysis and trends
Principal Duties and Responsibilities
- Developing new models and analytic approaches to provide insights on healthcare policy, particularly as related to prescription drug policy
- Advising healthcare industry stakeholders using data driven analysis
- Conducting quantitative research on a diverse array of healthcare issues
- Constructing and improving models to predict and understand policy implications, using claims data and pharmacy event data
- Leading or lending subject matter expertise to the direction and conceptualization of proposals, statements of work, and budgets
- Working independently and on collaborative teams with other analysts and experts, sometimes as the lead quantitative analyst on the project
- Estimating Congressional Budget Office-style budget scores of potential legislation
- Working with the policy analytics leadership team to identify areas for delivering innovation to clients
- Interpreting others’ analyses to assess, critique, or build on their findings
- Understanding analyses and insights of other entities (e.g., CBO, OMB, CMS, MedPAC, MACPAC)
- Presenting quantitative results to both technical and non-technical audiences
- Providing project management to analytical projects under guidance from senior leadership
Skills, Experience, and Other Job-Related Requirements
Education Requirements
- Advanced degree in public policy, public health, economics, or a related field
Skill Requirements
- Familiarity with key data sources for healthcare analysis (e.g. Medicare Claims, Medicare Part D data, commercial claims data, Medical Expenditure Panel Survey (MEPS) data, or Medicare Current Beneficiary Survey (MCBS) data)
- A strong interest in and knowledge of healthcare policy, with preference given to subject matter expertise in the Medicare Part D program
- Demonstrated analytic and quantitative skills
- Excellent written and oral communication skills
Experience Requirements
- 10 years of relevant full-time work experience
- Experience with healthcare-related quantitative analysis (e.g., micro-simulation models, forecasting models, or claims-based analysis)
- Project management experience
- Advanced experience with the Microsoft Office Suite, in particular Excel
- Experience with one or more programming languages helpful but not required (e.g. SAS, Stata, SPSS, R, SQL)