Medicaid and Prescription Drug Data Analyst
American Institutes for Research · United States
- Hybrid
- Full-time
- $110,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Analyze complex healthcare datasets for research.
- Manage and clean large data for insights.
- Create presentation-quality data reports.
- Support research design and project coordination.
- Work remotely in the United States.
About the role
Medicaid and Prescription Drug Data Analyst
Join AIR as a Medicaid and Prescription Drug Data Analyst with our Healthcare Innovations team. Our team works collaboratively to unravel the intertwined challenges of health care quality, costs, and access. Our team of experts – economists, data scientists, statisticians, public health experts, sociologists, nurses, physicians, and psychologists – advance evidence and save lives by leading rigorous research and evaluation; program implementation and monitoring; results-driven technical assistance and training; and leading-edge data science and technology tools.
The Data Analyst will apply programming skills to manage, analyze, and report on complex datasets, to implement and support research design, documentation, and project coordination, and to ensure high-quality data-driven insights. Candidates with expertise with Medicaid policy and data, and/or pharmaceutical pricing and related data sources are especially encouraged to apply.
This position has the flexibility to work remotely within the United States (U.S.) or from one of AIR’s U.S. office locations. This does not include U.S. territories.
About AIR
Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.
Responsibilities
- 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.
Qualifications
Education, Knowledge, and Experience
- 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.
Skills
- Strong quantitative research skills.
- Effective communication skills with the ability to collaborate efficiently in a virtual work environment.
- Excellent organizational, time management, and prioritization skills.
- Ability to manage multiple priorities and concurrent deliverables in a fast-paced environment.
- Ability to learn quickly, follow direction, and work independently.
- Strong collaboration, consultation, and problem-solving skills.
- Demonstrated initiative, professionalism, and attention to detail.
Key skills/competency
- Medicaid Data Analysis
- Prescription Drug Data
- Healthcare Data Management
- Quantitative Research
- Statistical Programming (R, Python, SAS, Stata)
- SQL
- Data Validation
- Technical Reporting
- Research Design
- Data Interpretation
Skills & topics
- Data Analyst
- Medicaid
- Prescription Drugs
- Healthcare Data
- SQL
- R
- Python
- SAS
- Stata
- Quantitative Analysis
- Research
- Data Management
- Public Health
- Data Science
- Health Informatics
How to get hired
- Tailor your resume: Highlight experience with Medicaid, prescription drug data, SQL, and statistical programming languages like R, Python, SAS, or Stata.
- Showcase quantitative skills: Emphasize your ability to apply quantitative methods, manage large datasets, and produce data-driven insights.
- Address preferred qualifications: If applicable, mention knowledge of Medicaid policy, financing, managed care, or value-based payment models.
- Demonstrate collaboration: Provide examples of effective communication and collaboration in virtual environments, as well as strong organizational skills.
- Prepare for technical questions: Be ready to discuss your experience with data management, validation, and analysis of complex administrative datasets.
Technical preparation
Practice SQL queries for data extraction and manipulation.,Develop R, Python, SAS, or Stata analysis scripts.,Review Medicaid policy and prescription drug data structures.,Familiarize yourself with data validation techniques.
Behavioral questions
Describe a complex data analysis project.,How do you ensure data accuracy and quality?,Share an experience collaborating virtually.,How do you manage multiple project priorities?
Frequently asked questions
- What specific experience is most valued for the Medicaid and Prescription Drug Data Analyst role at AIR?
- The American Institutes for Research (AIR) highly values candidates with at least 3 years of experience working with healthcare administrative data, specifically including Medicaid and prescription drug data. Expertise in pharmaceutical pricing and related data sources is also a significant advantage for this position.
- What programming languages and tools are essential for the Medicaid and Prescription Drug Data Analyst position?
- Proficiency in SQL is required, along with experience in at least one statistical programming language such as R, Python, SAS, or Stata. These tools are crucial for managing, analyzing, and reporting on large datasets as part of the Healthcare Innovations team.
- Can I work remotely as a Medicaid and Prescription Drug Data Analyst at AIR?
- Yes, this position offers the flexibility to work remotely within the United States (U.S.). Alternatively, you may choose to work from one of AIR’s U.S. office locations. Please note this remote option excludes U.S. territories.
- What educational background is required for the Data Analyst role at AIR?
- A Bachelor’s degree in a relevant field such as Statistics, Epidemiology, Economics, Health Informatics, Computer Science, Public Health, or a related discipline is required. This foundational knowledge is complemented by the required practical experience.
- What are the key responsibilities of a Medicaid and Prescription Drug Data Analyst at AIR?
- Key responsibilities include applying quantitative methods to manage and analyze research data, constructing and cleaning large datasets, creating presentation-quality reports, contributing to research study design, and managing project administration to ensure smooth execution and high-quality, data-driven insights.
- Does AIR offer visa sponsorship for the Medicaid and Prescription Drug Data Analyst position?
- No, American Institutes for Research (AIR) does not offer employment-based visa sponsorship, including H-1B sponsorship, for this Medicaid and Prescription Drug Data Analyst position. Applicants must be currently authorized to work in the U.S. on a full-time basis.
- What is the expected salary range for the Medicaid and Prescription Drug Data Analyst role?
- The anticipated annual salary range for the Medicaid and Prescription Drug Data Analyst position based in the United States is between $90,000 and $110,000 USD. Salary offers are determined by internal equity and market competitiveness.