Quantitative Researcher - Public Health, Healthcare Evaluation, & Disability
Listed on 2026-08-22
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Research/Development
Data Scientist, Public Health -
Healthcare
Data Scientist, Public Health
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://(Use the "Apply for this Job" box below)..
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://.
Mathematica is hiring researchers with specific expertise in quantitative research methods, causal inference, and policy research, who will conduct studies and support program evaluation in the areas of public health, healthcare, and disability.
The researchers will support project teams in the planning and execution of rigorous, data-driven research project for clients such as:
The Centers for Medicare & Medicaid Services, the Social Security Administration, the Substance Abuse and Mental Health Services Administration, the Agency for Healthcare Research and Quality, the Health Resources & Services Administration the Office of the Assistant Secretary for Planning and Evaluation, leading health foundations, and numerous state and local agencies and commercial clients.
- Collaborate with senior staff in a multidisciplinary environment to apply rigorous quantitative research methods, including study design, causal inference, data management, and statistical and econometric analysis for describing or evaluating programs and policies
- Draft reports, present findings to policy and professional audiences, and publish in professional journals
- Help develop proposals for new research projects
- Contribute to the growth, expertise, and institutional knowledge of other research staf
- Ph.D. or equivalent in economics, public health, epidemiology, biostatistics, data science/data analytics, health services research, or other relevant discipline. In lieu of a PhD, a Masters’ degree with coursework in causal inference and demonstrated experience applying it to research will be considered equivalent.
- Strong quantitative analytical skills. Training in causal inference methodologies is strongly…
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