Medicaid and Prescription Drug Data Analyst (Healthcare)

TL;DR

Medicaid and Prescription Drug Data Analyst (Healthcare): Managing and analyzing complex healthcare datasets to support research on healthcare quality, costs, and access with an accent on Medicaid policy and pharmaceutical pricing. Focus on constructing large datasets, applying quantitative methods, and ensuring high-quality data-driven insights for technical reports.

Location: Must be based in the United States (U.S.). Remote work is available within the U.S. or from specific office locations in Arlington, Chapel Hill, Chicago, Sacramento, or Austin.

Salary: $90,000 - $110,000 USD (Annual)

Company

A nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address pressing challenges in the U.S. and globally.

What you will do

• Apply quantitative methods and techniques to manage, analyze, and interpret research data.
• Construct, clean, and document large datasets for internal and project-specific needs.
• Create customized, presentation-quality reports based on data analysis results.
• Contribute to the design and methodology of research studies.
• Assist in the preparation of technical procedures, documentation, and reports.
• Write and edit assigned sections of proposals and project deliverables.

Requirements

• Bachelor’s degree in Statistics, Epidemiology, Economics, Health Informatics, Computer Science, Public Health, or a related field.
• At least 3 years of experience working with healthcare administrative data, including Medicaid, Medicare, and/or commercial claims.
• Experience working with pharmaceutical pricing data, prescription drug utilization, or pharmacy claims.
• Proficiency in SQL and at least one statistical programming language (e.g., R, Python, SAS, or Stata).
• Experience applying data management, data validation, and quality assurance methods to complex datasets.
• Must be currently authorized to work in the U.S. on a full-time basis; visa sponsorship (including H-1B) is not available.

Nice to have

• Knowledge of Medicaid policy, financing, managed care, and/or value-based payment models.
• Experience with advanced analytic techniques, including machine learning.

Culture & Benefits

• Competitive compensation through the Total Rewards Program.
• Collaborative multidisciplinary team environment consisting of economists, data scientists, and public health experts.
• Flexibility to work remotely within the U.S. or from regional offices.
• Commitment to equal employment opportunity and strict child safeguarding principles.