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RTI International

Research Economist – Prescription Drug and Healthcare Data Analysis

RTI International

. Lead and/or contribute to quantitative research activities related to prescription policy/research and other health policy and health services research topics.

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
quantitative researchstatistical analysisdata integrationdata analysisPythonSQLRSASStatahealthcare data analysis
Soft Skills
communicationcollaborationproject managementtime managementattention to detailproblem-solvingleadershipwritingpresentation skillsadaptability