Postdoctoral Research Associate - Center Climate, Health, and Healthcare; CCHH

Overview

Posting

Summary:

Under the direction of Soko Setoguchi, MD DrPH, Professor of Medicine and Epidemiology at Rutgers Robert Wood Johnson Medical School and School of Public Health and the Center for Climate, Health, and Healthcare (CCHH), the Postdoctoral Research Fellow will be responsible for conducting and assisting in studies examining the interaction between climate factors (extreme heat and air pollution) and medications and devices in pregnancy on adverse health outcomes as well as other funded and unfunded projects.

Candidates must have and maintain competence in environmental and pharmacoepidemiological research methods and programming skills for large relational databases. This is a two year position that will be supported by an active NIH funding. The successful candidate will further develop research skills under the mentorship of Dr. Setoguchi and will have opportunities to develop their own research question, compose and submit their own grants, write and publish in scientific journals, and continue their own scholarly and research development with input from other faculty and experts, including Dr.

Brian L. Strom and others at the Rutgers Biomedical and Health Sciences.

Center and Organization: Center for Climate, Health, and Healthcare (CCHH) – Rutgers Health and RWJBarnabas Health collaboration, within the Rutgers Institute for Health, Health Care Policy, and Aging Research. The center aims to address climate health through research, education, and community action.

The Postdoctoral Research Fellow will be responsible for conducting and assisting in studies that examine the interaction between climate factors (extreme heat and air pollution) and medications and devices in pregnancy on adverse health outcomes. Responsibilities also include developing research skills, composing and submitting grants, writing and publishing in scientific journals, and engaging with mentors and other faculty to advance scholarly development.

Minimum Education and Experience: A doctorate degree in pharmacoepidemiology, epidemiology, biostatistics or related fields or a master’s degree with equivalent knowledge and skills.

Required Knowledge, Skills, and Abilities:

• Experience working with large databases such as Medicare, Medicaid, or commercial insurance databases and/or electronic health record databases in a research setting.
• Knowledge in pharmacoepidemiological research methods and programming skills for large relational databases using SAS, R, Python and/or SQL.
• Demonstrated oral and written communication skills, and the ability to present scientific findings in various formats and to compose manuscripts for publication in peer-reviewed journals.
• Ability to work well independently and in a collaborative team environment.
• Excellent organizational, planning, project management, and problem solving skills.

Preferred Qualifications:

• Applicants with experience working with Medicare and Medicaid databases or other claims databases are preferred.

Equipment Utilized: SAS, R, Python and/or SQL.

Position Status: Full Time

Posting Number: 25FA1082

Posting Open Date: (date not provided)

Posting Close Date: 01/30/2026

• Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:
• Medical, prescription drug, and dental coverage
• Paid vacation, holidays, and various leave programs
• Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
• Employee and dependent educational benefits (when applicable)
• Life insurance coverage
• Employee discount programs

Special Instructions to Applicants: See Quick Link to Posting below for full details and application submission.

Quick Link to Posting: (Use the "Apply for this Job" box below)./262144

Campus: Rutgers University-New Brunswick

Home Location Campus: Rutgers University - New Brunswick

City: New Brunswick

State: NJ

Location Details: Office/Laboratory/Clinical environment; no significant physical demands beyond up to 35 pounds for exertion.

Pre-employment screenings:
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