Research Economist – Prescription Drug and Healthcare Data Analysis

RTI International

Research Economist leading analyses of healthcare delivery and prescription drug policies at RTI International. Collaborating with teams to evaluate innovative healthcare programs and contribute to policy development.

Posted 4/21/2026full-timeRemote • North Carolina • 🇺🇸 United StatesMid-LevelSenior💰 $89,000 - $108,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead and/or contribute to quantitative research activities related to prescription policy/research and other health policy and health services research topics.
Design and develop analytic data files, integrating a variety of data sources including Medicare claims, enrollment data, prescription drug data sources, and other commercially and publicly available data.
Conduct and supervise descriptive and statistical analyses of large, complex datasets.
Succinctly present results for a diverse technical and policy audience.
Author technical reports, memoranda, articles, documentation, regulations, and contract proposals.
Ensure high quality and accuracy of work products.
Collaborate with teams of mixed levels of technical skills and experience.
Develop expertise in several health care policy, research methods, and healthcare data areas.
Lead and/or contribute to contract proposals including methodological design, management plans, and project budgets.

Requirements

What you’ll need

A Master's degree in health services research, health economics, health policy, actuarial science, operations research, finance or related quantitative field with at least 3 years of relevant experience; or a Bachelor's degree in the same fields with at least 5 years of relevant experience.
Experience using prescription drug data, such as event and pharmacy data, formulary data, and FDA drug data sources to address research or policy questions.
Experience analyzing large healthcare datasets, especially Medicare or Medicaid claims and administrative data, using Python, SQL, R, SAS, and/or Stata.
Experience with and skills in quantitative, financial, actuarial, and statistical analysis.
Experience with domestic (United States) health policy, particularly Medicare Part D and/or other prescription drug policies and programs.
Ability to communicate (both written and verbal) complex ideas and information clearly and precisely to diverse audiences.
Ability to support multiple projects simultaneously and manage competing deadlines.
Ability to collaborate effectively as part of a multidisciplinary team.
Proficiency with Microsoft Office 365 Suite (Word, Excel, PowerPoint, etc.).
Legally authorized to work in the United States and should not require, now or in the future, sponsorship for employment visa status.

Benefits

Comp & perks

Competitive base salary
Generous paid time off policy
Health insurance plans
Retirement savings program (401(k))
Paid parental leave for all parents
Financial assistance with adoption expenses or infertility treatments
Financial reimbursement for education and developmental opportunities
Employee assistance program
Wellness programs and support for a healthy work-life balance

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Hard Skills & Tools

quantitative researchstatistical analysisdata integrationdata analysisPythonSQLRSASStatahealthcare data analysis

Soft Skills

communicationcollaborationproject managementtime managementattention to detailproblem-solvingleadershipwritingpresentation skillsadaptability