Research Scientist- Aging and Disability Economics, Evaluation, and Public Health Surveillance

Research Scientist - Aging and Disability Economics, Evaluation, and Public Health Surveillance

Posted 03 Jul 2026

NORC at the University of Chicago

This is a full-time, hybrid role based out of one of our office locations:
Chicago Loop;
Washington, DC;
Atlanta; or Cambridge, Massachusetts.

More information about the position and a link to apply are available at: https://careers.norc.org/en-us/job/503857/research-scientist-aging-and-disability-economics-evaluation-and-public-health-surveillance .

NORC at the University of Chicago is seeking a research scientist with expertise in aging and disability economics, evaluation, and public health surveillance.

Position summary:

NORC's Public Health Analytics Program conducts research and surveillance on age-related chronic disease and disability. The program's portfolio includes the Dementia Data Hub (Dementia Data Hub .org), the Vision and Eye Health Surveillance System (VEHSS), Sound Check Map , fall prevention research, and additional projects on aging-related conditions. The work is funded through NIH grants, federal contracts, and foundation support, and is conducted in partnership with academic institutions, federal agencies, and industry collaborators.

The program uses Medicare claims, national surveys, and other secondary data to measure disease burden, identify disparities, and inform policy.

The research scientist is meant to play a central analytic role across this portfolio. The role suits an early-career Ph.D. scientist who wants to publish, build a research portfolio, and contribute to a long-running, well-funded program of work.

This is a full-time, hybrid role based out of one of our office locations:

Chicago Loop;
Washington, DC;
Atlanta; or Cambridge, Massachusetts.

• Ph.D. in economics, health services research, public policy, epidemiology, or a closely related quantitative field. Recent postdoc or assistant professor equivalent experience preferred.
• Demonstrated proficiency in SAS, R, or Python for analysis of large administrative claims and survey datasets. SAS is preferred; strong R or Python candidates will be considered. STATA and SPSS proficiency alone is not sufficient.
• Direct, hands-on experience with Medicare claims data or comparable large administrative health datasets.
• A track record of scientific writing and the ability to first-author publications under mentorship.
• Meticulous attention to detail and a strong instinct for when something is not quite right in the data or the analysis.
• Qualified applicants must be eligible to work in the U.S.
• We regret that we are unable to offer visa sponsorship for this position.