Research Economist โ€“ Prescription Drugs and Pharmacoeconomics

Tags: Law finance
  • Added Date: Friday, 12 September 2025
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DescriptionWhy 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 approachโ€”one that integrates expertise across social, statistical, data, and laboratory sciences, engineering, and other technical disciplines to solve the worldโ€™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 US 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 Internationalโ€™s Health Practice Area has an opening for a Research Economist in the Division of Health Care Payment and Quality to serve as a task and project leader for implementation, analysis, evaluation, and synthesis of innovative health care delivery and prescription drug pricing policies, programs, and models. As a Research Economist, you will provide cutting-edge analyses that will influence healthcare policy and healthcare system innovation, particularly within the Medicare and Medicaid programs and with respect to prescription drug pricing. Using large healthcare datasets, you will design, evaluate, and support policies related to healthcare insurance, prescription drug, payment, and delivery models; managed care; healthcare financing, costs, utilization, and quality; prescription drug coverage and access; and risk and case-mix adjustment through statistical analysis. You will lead analytic projects as an integral part of a team, apply an in-depth understanding of critical health policy issues and methods, contribute to and lead proposals to funding entities, and publish and present on findings for scientific audiences. You will support projects in operationalizing analyses of complex health care programs using a range of data sources including administrative claims data from the Medicare and Medicaid programs and other public and non-public data sources. Candidates may choose to work remotely within the United States or out of the Research Triangle Park, NC office. What You'll Do Lead and/or contribute to quantitative and qualitative research activities on a broad range of health policy and health services research topics. 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. Design and document analytic data files, including health care claims and enrollment data. Ensure high quality and accuracy of work products. Supervise and manage research staff in completing project tasks. Lead and/or contribute to contract proposals including methodological design, management plans, and project budgets. Collaborate with teams of mixed levels of technical skills and experience. Develop expertise in several health care policy, research methods, and healthcare data areas. What You'll Need Minimum Qualifications: PhD or PhD candidate (who can begin working in 2025 or early 2026) in health services research, health economics, health policy, actuarial science, operations research, finance or related quantitative field; or a Masterโ€™s degree in the same fields with at least 6 years of relevant experience. Completed coursework and experience with quantitative research. Experience with domestic (United States) health policy, particularly Medicare Part D and/or other prescription drug policies and programs. Experience with real word evidence analysis (RWE) analysis and pharmacoeconomic analysis including analyses of drug regimens and lines of therapy. 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 with close attention to detail to ensure high quality work. Ability to collaborate effectively as part of a multidisciplinary team. Ability to analyze quantitative data with R, Python, SQL, SAS, SPSS, and/or Stata. Proficiency with Microsoft Office 365 Suite (Word, Excel, PowerPoint, etc.). To qualify, applicants must be legally authorized to work in the United States and should not require, now or in the future, sponsorship for employment visa status (e.g., H-1B visa status, etc.). Preferred Qualifications: Experience with the Medicare Advantage program. Experience with analysis of prescription drug encounter data, formulary data, and pharmacy data including 340B program data. Experience with and skills in quantitative, financial, actuarial, and statistical analysis. Experience with large healthcare datasets, especially Medicare or Medicaid claims and administrative data. EEO & Pay Equity Statements For San Francisco, CA USA Job Postings Only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Further information is available here. RTI accepts applications to our job openings from candidates with criminal histories or conviction records in accordance with all applicable laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. For Applicants in Massachusetts Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The anticipated pay range for this role is listed below. Our pay ranges represent national averages and may vary by location as a geographic differential may be applied to some locations within the United States. RTI considers multiple factors when making an offer including, for example: established salary range, internal budget, business needs, and education and years of work experience possessed by the applicant. Further, salary is merely one element to our offer. At RTI, we demonstrate our commitment to rewarding individual and team achievement through a total rewards package. This package includes (among other things) a competitive base salary, a generous paid time off policy, merit based annual increases, bonus opportunities and a robust recognition program. Other benefits include a competitive range of insurance plans (including health, dental, life, and short-term and long-term disability), access to a retirement savings program such as a 401(k) plan, paid parental leave for all parents, financial assistance with adoption expenses or infertility treatments, financial reimbursement for education and developmental opportunities, an employee assistance program, and numerous other offerings to support a healthy work-life balance. Equal Pay Act Minimum/Range $113,000 - $138,000

ResponsibilitiesLead and/or contribute to quantitative and qualitative research activities on a broad range of health policy and health services research topics. 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. Design and document analytic data files, including health care claims and enrollment data. Ensure high quality and accuracy of work products. Supervise and manage research staff in completing project tasks. Lead and/or contribute to contract proposals including methodological design, management plans, and project budgets. Collaborate with teams of mixed levels of technical skills and experience. Develop expertise in several health care policy, research methods, and healthcare data areas

๐Ÿ“š ๐——๐—ถ๐˜€๐—ฐ๐—ผ๐˜ƒ๐—ฒ๐—ฟ ๐—›๐—ผ๐˜„ ๐˜๐—ผ ๐—š๐—ฒ๐˜ ๐—ฎ ๐—๐—ผ๐—ฏ ๐—ถ๐—ป ๐˜๐—ต๐—ฒ ๐—จ๐—ก ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฏ! ๐ŸŒ๐Ÿค ๐—ฅ๐—ฒ๐—ฎ๐—ฑ ๐—ผ๐˜‚๐—ฟ ๐—ก๐—˜๐—ช ๐—ฅ๐—ฒ๐—ฐ๐—ฟ๐˜‚๐—ถ๐˜๐—บ๐—ฒ๐—ป๐˜ ๐—š๐˜‚๐—ถ๐—ฑ๐—ฒ ๐˜๐—ผ ๐˜๐—ต๐—ฒ ๐—จ๐—ก ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฏ ๐˜„๐—ถ๐˜๐—ต ๐˜๐—ฒ๐˜€๐˜ ๐˜€๐—ฎ๐—บ๐—ฝ๐—น๐—ฒ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—จ๐—ก๐—›๐—–๐—ฅ, ๐—ช๐—™๐—ฃ, ๐—จ๐—ก๐—œ๐—–๐—˜๐—™, ๐—จ๐—ก๐——๐—ฆ๐—ฆ, ๐—จ๐—ก๐—™๐—ฃ๐—”, ๐—œ๐—ข๐—  ๐—ฎ๐—ป๐—ฑ ๐—ผ๐˜๐—ต๐—ฒ๐—ฟ๐˜€! ๐ŸŒ

โš ๏ธ ๐‚๐ก๐š๐ง๐ ๐ž ๐˜๐จ๐ฎ๐ซ ๐‹๐ข๐Ÿ๐ž ๐๐จ๐ฐ: ๐๐จ๐ฐ๐ž๐ซ๐Ÿ๐ฎ๐ฅ ๐“๐ž๐œ๐ก๐ง๐ข๐ช๐ฎ๐ž๐ฌ ๐ก๐จ๐ฐ ๐ญ๐จ ๐ ๐ž๐ญ ๐š ๐ฃ๐จ๐› ๐ข๐ง ๐ญ๐ก๐ž ๐”๐ง๐ข๐ญ๐ž๐ ๐๐š๐ญ๐ข๐จ๐ง๐ฌ ๐๐Ž๐–!

QualificationMinimum Qualifications: PhD or PhD candidate (who can begin working in 2025 or early 2026) in health services research, health economics, health policy, actuarial science, operations research, finance or related quantitative field; or a Masterโ€™s degree in the same fields with at least 6 years of relevant experience. Completed coursework and experience with quantitative research. Experience with domestic (United States) health policy, particularly Medicare Part D and/or other prescription drug policies and programs. Experience with real word evidence analysis (RWE) analysis and pharmacoeconomic analysis including analyses of drug regimens and lines of therapy. 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 with close attention to detail to ensure high quality work. Ability to collaborate effectively as part of a multidisciplinary team. Ability to analyze quantitative data with R, Python, SQL, SAS, SPSS, and/or Stata. Proficiency with Microsoft Office 365 Suite (Word, Excel, PowerPoint, etc.). To qualify, applicants must be legally authorized to work in the United States and should not require, now or in the future, sponsorship for employment visa status (e.g., H-1B visa status, etc.). Preferred Qualifications: Experience with the Medicare Advantage program. Experience with analysis of prescription drug encounter data, formulary data, and pharmacy data including 340B program data. Experience with and skills in quantitative, financial, actuarial, and statistical analysis. Experience with large healthcare datasets, especially Medicare or Medicaid claims and administrative data

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