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Health Economics and Outcomes Research/ Pharmacoepidemiology Internship

Job ID 2079

Position Description:

About Mathematica:

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve interventions, refine strategies, and enhance understanding. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. As a fully employee-owned firm, Mathematica is dedicated to defining and advancing our mission to improve public well-being by bringing the highest standards of quality, objectivity, and excellence in information collection and analysis for our clients. At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experiences is key to our success.

As a trusted partner to federal, state, and local health agencies, Mathematica is expanding our offerings in Commercial Health Care and Life Sciences. Leveraging our mission- and data-driven approach, proven in shaping Medicare and Medicaid policies, we now provide advanced analytic and advisory capabilities to private providers, health systems, life sciences, med tech firms, risk-bearing entities, and medical colleges and societies.

For more information about Mathematica, please visit

Position Overview:

We are offering a dynamic internship opportunity for PhD graduate students in Health Economics and Outcomes Research (HEOR), or Pharmacy/Health Economics programs with an HEOR, real-world evidence, (RWE), pharmacoepidemiology, or pharmacovigilance focus. The interns can expect to support data processing and analysis tasks, such as building analytic files, developing documentation, and applying epidemiological, economic, and statistical methods. This is a paid, full-time, 10-week internship, from June 3, 2024 until August 9, 2024. This will be a remote internship. However, it may be possible for the intern to work in the Washington, D.C. office.

During the internship, interns will work on a dedicated project, tailored to match their interests and experience as well as Mathematica’s current research needs. We welcome, but do not require, interns to propose their own research ideas for a project. Interns will be paired with a mentor, who will provide support on the intern’s project and help the intern gain insight into Mathematica’s Life Sciences and health policy work. The internship may include exposure to internal research projects, client-based work, and may intersect with data science offerings and needs.

We provide interested interns an opportunity to leverage our data assets, including:

  • 100% Medicare and Medicaid claims from CMS and
  • Mathematica’s Price Transparency Database (based on pricing data disclosed by health plans).

Interns will have access to Mathematica’s diverse, multi-disciplinary staff for informational sessions, career advice, and will meet with our CEO during their internship. Further, interns will have access to seminars and knowledge sharing in all areas of our work. After the internship, the interns may have an opportunity to continue to work at Mathematica part time and are encouraged apply for a full-time position.

Position Requirements:

  • PhD student in their first year or higher year (but not final year) of Health Economics and Outcomes Research (HEOR), or Pharmacy/Health Economics programs with an HEOR, real-world evidence, (RWE), pharmacoepidemiology, pharmacovigilance focus, or a related program.
  • Strong analytical and problem-solving skills.
  • At least two years of experience performing data manipulation; epidemiological, economic, or statistical analyses in Stata, R, SAS, or another widely used software in HEOR.
  • Experience in one or more of the following areas: comparative effectiveness analysis, cost effectiveness analysis, causal inference, observational methods, claims data, RWE, or pharmacovigilance.
  • Ability to take an ambiguous question, propose rigorous methods, use data to draw insights, and convey results and findings to wide audiences.
  • Ability and desire to work independently, learn and contribute to knowledge sharing with the team.
  • Ability to work collaboratively in a dynamic team environment, as part of an interdisciplinary team that may be geographically dispersed.
  • Excellent communication skills.

This is a paid internship, with an hourly rate of $26 per hour for students in their first year, or $27 per hour for students in their second year (or later) of a PhD program.

To apply, please submit a cover letter, resume, and a research writing sample (such as dissertation chapter, working paper, or a publication).

Note to agencies: We are not working with staffing agencies to fill this position, and we will not accept unsolicited resumes. Please do not reach out directly to technical staff or leaders within Mathematica, as all questions from agencies go through the Talent Acquisition team.

Available Locations: Washington, DC; or remote


We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

At Mathematica, we understand the importance of building relationships with colleagues. If you’re not located near one of our offices but would like opportunities to meet up with co-workers, we offer coworking spaces where available. Ask your Talent Acquisition partner for more information about this opportunity and whether it’s an option in your area.

Any offer of employment will be contingent upon passing a background check. Various federal agencies with whom we contract require that staff successfully undergo security clearance as a condition of working on the project. If you are assigned to such a project, you will be required to obtain the requisite security clearance. Additionally, if you participate in/complete the application process and are denied, Mathematica may choose to terminate your employment.

Although Mathematica does not require vaccination from COVID-19 as a condition of employment, various projects or agencies may require documentation of vaccination (or an approved exception/accommodation).

We take pride in our employees and in their commitment to excellence. We encourage staff to collaborate in developing creative solutions to difficult problems and to share the responsibility and enjoyment of carrying out complex projects. This collegial spirit has helped us earn our reputation for innovative and high quality work.

One of Mathematica’s core values is a deep commitment to diversity, equity, and inclusion. Our work is more robust because it is informed by a variety of diverse perspectives, and our mission to improve societal well-being is strengthened by a greater understanding of issues and challenges facing the populations we serve. Mathematica’s ongoing commitment to diversity and inclusion is woven into our everyday actions, policies, and practices—including decisions regarding recruitment, training, compensation, and promotion. We are dedicated to maintaining a work environment in which everyone is treated with respect and dignity.

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