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Sr. Researcher, Healthcare Evaluation; Remote Eligible

Remote / Online - Candidates ideally in
Princeton, Mercer County, New Jersey, 08543, USA
Listing for: Mathematica, Inc.
Remote/Work from Home position
Listed on 2026-09-17
Job specializations:
  • Research/Development
    Research Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Sr. Researcher, Healthcare Evaluation (Remote Eligible)

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 programs, refine strategies, and enhance understanding using data science and analytics. 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.

Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength.

Read more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance.

Primary Duties and Responsibilities:

Mathematica is seeking a Senior Researcher with strong quantitative research and evaluation expertise to lead and contribute to complex research, evaluation, and data analytics projects, with a particular focus on health policy and federal health programs. The ideal candidate will bring deep experience designing and conducting rigorous evaluations, working with large and complex administrative data, and translating research and analytic findings into actionable insights for clients and policymakers.

We are particularly interested in candidates with experience working with Centers for Medicare & Medicaid Services (CMS) data and programs, including the Center for Medicare and Medicaid Innovation (CMMI). The successful candidate will combine strong methodological and analytic expertise with the ability to lead multidisciplinary teams, collaborate effectively with clients and partners, and contribute to the development of new approaches that improve the efficiency, timeliness, and usefulness of research and evaluation.

Responsibilities:
  • Lead
    and advise on complex quantitative research and evaluation activities for
    federal and other clients
  • Lead
    multidisciplinary project teams, providing the direction, organization,
    and coordination necessary to deliver high-quality work on time and within
    budget
  • Design
    and implement rigorous research and evaluation approaches to address
    complex health policy and program questions
  • Work
    with large and complex administrative data sources, including CMS data, to
    assess programs, policies, outcomes, and implementation
  • Assess
    data quality and fitness for use, identify and address limitations in
    administrative data, and guide appropriate interpretation of findings
  • Lead
    and contribute to efforts to integrate, link, and aggregate multiple data
    sources to support research and decision making
  • Apply
    advanced quantitative methods to analyze data and answer research and
    policy questions
  • Explore
    and apply machine learning, artificial intelligence, and other emerging
    analytic approaches to improve research efficiency, accelerate the
    generation of insights, and support client decision making
  • Assess
    the strength of study designs and existing evidence and contribute to
    evidence reviews, systematic reviews, and meta-analyses, as appropriate
  • Translate
    complex research methods, data considerations, and findings into clear and
    actionable information for policymakers, program administrators,
    practitioners, and other audiences
  • Collaborate
    closely with…
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