Master's-level Health Economist - Health Care Systems Research

Why RTI

RTI International is an independent, scientific research institute dedicated to improving the human condition. Our vision is to address the world’s most critical problems with technical and science-based solutions in pursuit of a better future. Clients rely on us to answer questions that demand an objective and multidisciplinary approach — one that integrates expertise across social, statistical, data, and laboratory sciences, engineering, and other technical disciplines to solve the world’s most challenging problems.

We believe in the promise of science and technical solutions, and we push ourselves every day to deliver on that promise for the good of people, communities, and businesses in the U.S. and around the world. If you are looking for the opportunity to make a real difference, RTI is the place for you.

About the Hiring Group

RTI International’s Health Care Systems Research Department has multiple openings for Master’s-level Health Economists to assist with implementation, analysis, evaluation, and synthesis of innovative health and social policies, programs, and research initiatives.

In this position, you will function as an integral part of a team supporting research and analytic activities. The role includes opportunities to apply quantitative skills and collaborate with senior research staff, while developing an in-depth understanding of critical health policy and research issues, and advanced methods. Many opportunities for mentorship and professional development in a variety of health systems‑related topic areas are available.

This position can be either based in RTI’s U.S. office in Research Triangle Park, NC, or it can be fully remote. Teleworking is permitted within the United States only.

We strongly encourage applicants to include a cover letter with their application describing their interest in the role and related experience.

• Assist with quantitative research activities including data abstraction, data analysis, data cleaning, file building, statistical modeling, measure calculation, payment calculation, writing detailed technical specifications and documentation, creating tables and figures, and/or writing analytic reports.
• Analyze large health‑related datasets (e.g., Medicare enrollment, claims and encounter data, national health surveys, Medicaid data, cancer registries, nursing home assessment data, prescription drug data).
• Assist in developing and implementing processes to assure quality and accuracy of data analyses.
• Review and proof own work for accuracy and completeness.
• Assist with project management responsibilities including scheduling, preparing meeting agendas, and recording meeting minutes.
• Conduct literature reviews, environmental scans, and synthesize findings.
• Contribute to and/or prepare portions of technical memoranda, reports, and presentations.

• Master’s Degree in a quantitative field including Economics, Applied Mathematics/Statistics, Data Science, Computer Science, Health Services Research, Actuarial Science, Operations Research, Finance, Pharmaceutical Economics, or a closely related quantitative field. In lieu of a Master’s Degree, a Bachelor’s Degree in one of the above fields plus at least 3 years of relevant work experience is acceptable.
• Experience with statistical programming packages (e.g., Python, R, SAS, SQL, or STATA).
• Interest in health services and/or health economics research.
• Ability to manage multiple tasks simultaneously and work in a team environment.
• Excellent attention to detail, ability to do accurate and error‑free work with complex datasets and detailed federal program policies.
• Excellent oral and written communication skills.
• Proficiency in Microsoft Word and Excel.
• To qualify, applicants must be legally authorized to work in the U.S. and should not require, now or in the future, sponsorship for employment visa status (e.g., H‑1B visa status, etc.).

• Knowledge of domestic United States federal and state health care programs, markets, policies, and data (e.g., Medicare, Medicaid, prescription drug market, medical claims data).
• Relevant work experience.
• Demonstrat…