Principal Research Associate - Healthcare Data Analytics - Hybrid

Westat•Bethesda, MD

1d•Hybrid

About The Position

Westat is a leader in research, data collection and analysis, technical assistance, evaluation, and communications. Our evidence-based findings help clients in government and the private sector accelerate advancements in health, education, transportation, and social and economic policy. Our dedication to improving lives through research and our approach to projects grounded in investigative curiosity, statistical and data rigor, adaptive methods, and advanced technology are why clients find exceptional value in our work. We value regular in-person collaboration, hybrid candidates will work a minimum of 2 days per week at our Bethesda, Maryland office or at one of our other Westat office locations. Please include a cover letter when submitting your application.

Requirements

A master's degree in a relevant discipline and 8+ years of related experience, or a bachelor's degree and 15+ years of related experience.
Experience conducting health services research independently and on multidisciplinary teams.
Quantitative analytic expertise using SQL, SAS, R, Python, and/or Databricks.
Experience working with Medicare claims and other Medicare administrative data related to beneficiaries, providers, and provider enrollment such as Provider Enrollment, Chain, and Ownership System (PECOS).
Experience working in the CMS IDR-C or Databricks environments.
Experience working on CMS contracts.
Candidates must be authorized to work in the United States on a full-time basis.
Westat does not offer employment-based visa sponsorship (including H-1B sponsorship) for this role.

Nice To Haves

Experience working on contracts to support CMMI implementation and monitoring of alternative payment models.
Task leadership experience.
Ability to summarize or synthesize information for different audiences and purposes.
Ability to work independently and manage time effectively to coordinate completion of projects and tasks.

Responsibilities

Serve in various technical roles using data transformation, extract-transform-load (ETL), and quantitative research methods for a variety of large, complex projects for the Centers for Medicare & Medicaid Services (CMS) and other federal clients.
Independently conduct programming and analysis activities using SQL, Python, R, and Databricks to ingest, link, clean, create, and manipulate complex datasets including Medicare/Medicaid claims and administrative data.
Conduct quantitative analysis, interpret results, and prepare internal and client reports.
Conduct quality assurance of other technical staff members’ technical specifications, documentation, analytic code, and output.
Communicate quantitative results verbally and in writing for a variety of internal and external audiences.
Participate in business development activities, as needed.