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Postdoctoral Associate Center Climate, Health and Healthcare; CCHH

Job in New Brunswick, Middlesex County, New Jersey, 08933, USA
Listing for: Rutgers University
Full Time position
Listed on 2026-07-01
Job specializations:
  • Research/Development
    Research Scientist, Clinical Research, Data Scientist, Public Health
Salary/Wage Range or Industry Benchmark: 64000 USD Yearly USD 64000.00 YEAR
Job Description & How to Apply Below
Position: Postdoctoral Associate for the Center for Climate, Health and Healthcare (CCHH)

Position Overview

Postdoctoral Associate for the Center for Climate, Health and Healthcare (CCHH) within the Institute for Health, Health Care Policy and Aging Research at Rutgers University. This role works with an established Principal Investigator to conduct research on climate and health outcomes, health service use and access across the life span, community health, health promotion/prevention/equity, healthcare sustainability/resilience, and related mission topics.

Position Summary

The Postdoctoral Associate will analyze and interpret data on health outcomes, treatment need, and/or utilization, as well as health and social drivers, from a variety of administrative and population data sources. The researcher will contribute to peer‑reviewed manuscripts, scientific presentations, and grant development, work collaboratively in teams, and pursue independent research and career development activities, including grant writing training in health services and climate‑related studies.

Responsibilities
  • Analyze and interpret quantitative data on health outcomes, treatment needs, utilization, and social drivers.
  • Develop peer‑reviewed manuscripts, scientific presentations, and grant proposals.
  • Collaborate effectively with multidisciplinary teams and engage in team meetings.
  • Pursue independent research and career development opportunities, including grant‑writing training.
Qualifications
  • A doctoral degree in epidemiology, social and behavioral health sciences, biostatistics, or a related field.
  • A record of peer‑reviewed publications.
  • Proficiency in R (SAS or Python a plus), quantitative data analysis, and statistical concepts and methods.
  • Excellent quantitative analytical skills, especially in longitudinal modeling, administrative data analyses, and causal inference methods.
  • Understanding of HIPAA regulations and or Human Subjects regulations for human subjects research.
  • Excellent spoken and written communication skills.
  • Ability to collaborate effectively with multidisciplinary teams in a thoughtful, ethical, equitable manner.
Preferred Qualifications
  • Strong interest in studying how environmental factors affect disease risk, medication utilization, and patient vulnerability.
  • Experience conducting research on health outcomes and environmental data.
  • Experience in qualitative research or community engagement.
Equipment Utilized
  • Computer literate with proficiency in statistical and analytical software including R (SAS, Python, Stata, NVivo, or Dedoose a plus).
Physical Demands and Work Environment
  • Standard academic and office research environment; requires prolonged computer use and participation in research team meetings.
Compensation

Minimum of $64,000 is budgeted for this position. Final salary offer will consider qualifications, experience, expertise, grant availability, market benchmarks, and internal equity.

Benefits
  • 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
Equal Employment Opportunity Statement

It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law.

As an institution, we encourage all qualified applicants to apply. For additional information please see the Non‑Discrimination Statement at the following web address: (Use the "Apply for this Job" box below)./non‑discrimination‑statement

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Position Requirements
10+ Years work experience
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