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 www.mathematica.org.*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 andMathematica’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 second 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 $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

　　#LI-NN1

　　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.