Medicaid and Prescription Drug Data Analyst

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🏄 California, Illinois, +3 more states – Remote

🏄 California – Remote 🌽 Illinois – Remote 🌲 North Carolina – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $90k - $110k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

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American Institutes for Research

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1946

📚 Education

⚕️ Healthcare Insurance

🌍 Social Impact

💰 Grant on 2017-11

Education • Healthcare Insurance • Social Impact

American Institutes for Research is dedicated to advancing evidence and improving lives through rigorous research and evaluation. The organization focuses on education, health, human services, and international initiatives, providing technical assistance and data science capabilities to address critical social issues. With a mission to generate evidence that contributes to a better and more equitable world, AIR collaborates with communities, policymakers, and researchers to support evidence-based solutions across various sectors.

📋 Description

• Apply quantitative methods and techniques to manage, analyze, and interpret research data. • Construct, clean, and document large datasets for both internal use and project-specific needs. • Create customized, presentation-quality reports based on data analysis results. • Contribute to the design and methodology of research studies. • Manage administrative components of projects to ensure smooth execution. • Assist in the preparation of technical procedures, documentation, and reports. • Write, compile, and edit assigned sections of proposals and project deliverables. • Review work products to ensure accuracy, clarity, and consistency of content.

🎯 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 and encounter data. • Experience working with pharmaceutical pricing data, prescription drug utilization data, pharmacy claims, or other related data sources. • Experience using SQL and at least one statistical programming language (e.g., R, Python, SAS, or Stata) to manage, analyze, and report on large datasets. • Experience applying data management, data validation, and quality assurance methods to complex administrative datasets. • Experience contributing to technical reports, client deliverables, and proposal development. • Knowledge of Medicaid policy, financing, managed care, and/or value-based payment models, preferred but not required. • Experience with advanced analytic techniques, including machine learning, preferred but not required.

🏖️ Benefits

• Health insurance • 401(k) • Professional development opportunities