Principal Research Associate – Healthcare Researcher - Hybrid

Westat•Bethesda, MD

1d•Hybrid

About The Position

Westat is seeking a Principal Research Associate – Healthcare Researcher to conduct healthcare research and claims data analytics, statistical programming, reporting, and task management. The role involves working with a multidisciplinary team primarily on healthcare and clinical contracts supporting the Centers for Medicare & Medicaid Services (CMS) and pharmaceutical research. This is a full-time position with a hybrid work arrangement at their corporate headquarters in Bethesda, requiring 1-2 days per week in the office.

Requirements

A master's degree in economics, epidemiology, public health, data science or a relevant discipline and 8+ years of experience; OR a PhD in economics, epidemiology, public health, data science or a relevant discipline and 5+ years of experience.
Experience conducting health services research independently and on multidisciplinary teams.
Quantitative analytic expertise using SQL, and/or Python, and/or R.
Experience working with Medicare claims and other Medicare administrative data related to beneficiaries, providers, and provider enrollment.
Experience with healthcare research project management.
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 evaluation for CMS projects.
Experience with real world evidence and/or clinical trials data analysis and writing.
Experience with technical writing about healthcare and/or pharmaceutical research data.
Ability to work independently and manage time effectively to coordinate completion of projects and tasks.

Responsibilities

Lead application of quantitative research methods for a variety of large, complex projects for the Centers for Medicare & Medicaid Services (CMS) and other federal or commercial clients.
Independently conduct programming and analysis activities using SQL, Python, and/or R, and using platforms such as Databricks to ingest, link, clean, create, and manipulate complex datasets including Medicare/Medicaid claims, commercial claims, and other administrative data.
Conduct quantitative analysis, interpret results, and prepare internal and client reports including technical writing about healthcare data.
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.
Manage project timelines, budgets, and reporting documentation.
Participate in business development activities, including developing technical approaches for new opportunities using healthcare data.