Rutgers University
Job Overview
With its broad and multidisciplinary faculty expertise, the Environmental and Occupational Health Sciences Institute (EOHSI) is an international resource that supports basic and clinical research in environmental health sciences and exposure assessment and fosters associated programs in environmental health education and public policy.
Established in 1986, EOHSI’s major objectives are to:
Advance understanding of the mechanisms by which environmental and occupational chemical exposures impact human health.
Identify and measure human environmental and occupational exposures to chemicals.
Treat populations adversely affected by chemical exposures.
Develop educational tools describing relative risks of chemical exposures.
Contribute to public policies related to environmental and occupational chemical risks.
Offer training programs for environmental health professionals.
Rutgers, The State University of New Jersey, is a leading national research university and the state of New Jersey’s preeminent, comprehensive public institution of higher education, celebrating its 250th anniversary in 2016. More than 67,000 students and 22,000 faculty and staff learn, work, and serve the public across the campus and worldwide.
Posting Summary Rutgers seeks a highly motivated Post Doctoral Associate for the Division of Environmental & Population Health Biosciences at EOHSI. The Associate will work under the direct supervision of Drs. Zorimar Rivera‑Núñez and Emily Barrett to advance research on endocrine‑disrupting chemicals in relation to maternal and child health outcomes.
The Associate will lead data management and analysis for ongoing research projects, prepare manuscripts and grant applications, and develop an independent research line leveraging birth cohort data, including multiple chemicals and metabolomics data. Potential topic areas include maternal metabolomics, child growth, puberty, and neurodevelopment.
Day‑to‑day duties include database management, statistical analysis, manuscript writing, and mentorship of students and trainees. Opportunities exist for authorship on publications, teaching presentations at conferences, and grant proposal development. The expected hire date is Spring 2026, with a 12‑month position and a one‑year hire commitment and further extension depending on funding and performance.
Responsibilities
Lead data management and statistical analysis for research projects.
Prepare manuscripts and grant proposals.
Develop independent research projects using birth cohort data.
Mentor students and trainees.
Collaborate with faculty on grant proposal development.
Qualifications
Doctoral degree in Epidemiology or a related quantitative discipline, including Environmental Health Sciences, Biostatistics, Statistics, or Health Outcomes.
Applicants with All But Degree (ABD) status will be considered for interview.
Preferred Qualifications
Excellent data management and analysis skills.
Proficiency in SAS or R.
Experience with longitudinal data analysis.
Ability to prioritize and execute projects independently with attention to detail.
Track record of first‑authored peer‑reviewed publications (as appropriate for level of experience).
Excellent written and verbal communication skills.
Team player with collaborative research experience.
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 Rutgers University is committed to providing equal employment opportunity to all individuals regardless of race, creed, color, national origin, age, gender identity, disability status, veteran status, or any other protected category.
Supplemental Questions
* Do you have a Doctoral degree in Epidemiology or related quantitative discipline, including but not limited to Environmental Health Sciences, Biostatistics, Statistics, or Health Outcomes?
Yes
No
* Are you proficient with SAS or R?
Yes
No
* Do you have experience with longitudinal data analysis?
Yes
No
* Do you have excellent data management and analysis skills?
Yes
No
Required Documents
Resume/CV
Cover Letter/Letter of Application
Optional Documents Optional: Any additional documents you wish to submit.
#J-18808-Ljbffr
Established in 1986, EOHSI’s major objectives are to:
Advance understanding of the mechanisms by which environmental and occupational chemical exposures impact human health.
Identify and measure human environmental and occupational exposures to chemicals.
Treat populations adversely affected by chemical exposures.
Develop educational tools describing relative risks of chemical exposures.
Contribute to public policies related to environmental and occupational chemical risks.
Offer training programs for environmental health professionals.
Rutgers, The State University of New Jersey, is a leading national research university and the state of New Jersey’s preeminent, comprehensive public institution of higher education, celebrating its 250th anniversary in 2016. More than 67,000 students and 22,000 faculty and staff learn, work, and serve the public across the campus and worldwide.
Posting Summary Rutgers seeks a highly motivated Post Doctoral Associate for the Division of Environmental & Population Health Biosciences at EOHSI. The Associate will work under the direct supervision of Drs. Zorimar Rivera‑Núñez and Emily Barrett to advance research on endocrine‑disrupting chemicals in relation to maternal and child health outcomes.
The Associate will lead data management and analysis for ongoing research projects, prepare manuscripts and grant applications, and develop an independent research line leveraging birth cohort data, including multiple chemicals and metabolomics data. Potential topic areas include maternal metabolomics, child growth, puberty, and neurodevelopment.
Day‑to‑day duties include database management, statistical analysis, manuscript writing, and mentorship of students and trainees. Opportunities exist for authorship on publications, teaching presentations at conferences, and grant proposal development. The expected hire date is Spring 2026, with a 12‑month position and a one‑year hire commitment and further extension depending on funding and performance.
Responsibilities
Lead data management and statistical analysis for research projects.
Prepare manuscripts and grant proposals.
Develop independent research projects using birth cohort data.
Mentor students and trainees.
Collaborate with faculty on grant proposal development.
Qualifications
Doctoral degree in Epidemiology or a related quantitative discipline, including Environmental Health Sciences, Biostatistics, Statistics, or Health Outcomes.
Applicants with All But Degree (ABD) status will be considered for interview.
Preferred Qualifications
Excellent data management and analysis skills.
Proficiency in SAS or R.
Experience with longitudinal data analysis.
Ability to prioritize and execute projects independently with attention to detail.
Track record of first‑authored peer‑reviewed publications (as appropriate for level of experience).
Excellent written and verbal communication skills.
Team player with collaborative research experience.
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 Rutgers University is committed to providing equal employment opportunity to all individuals regardless of race, creed, color, national origin, age, gender identity, disability status, veteran status, or any other protected category.
Supplemental Questions
* Do you have a Doctoral degree in Epidemiology or related quantitative discipline, including but not limited to Environmental Health Sciences, Biostatistics, Statistics, or Health Outcomes?
Yes
No
* Are you proficient with SAS or R?
Yes
No
* Do you have experience with longitudinal data analysis?
Yes
No
* Do you have excellent data management and analysis skills?
Yes
No
Required Documents
Resume/CV
Cover Letter/Letter of Application
Optional Documents Optional: Any additional documents you wish to submit.
#J-18808-Ljbffr