Post Doctoral Associate

Posting Summary Rutgers, The State University of New Jersey, is seeking a highly motivated Post Doctoral Associate for the School of Public Health (SPH). We seek an exceptional candidate to collaborate on an NIH-funded quantitative study on the impact of homelessness and housing services on maternal and infant health. For this position, the candidate will work under the direct supervision of project principal investigators (PIs) Drs. Mark McGovern and Dan Treglia; and will join a growing research team at the SPH and Center for State Health Policy with a strong publication and funding track record. The project will have a strong focus on health equity, with the goal of using advanced quantitative methods to identify how housing policy can be used to address health disparities. Under direction of the PIs, the postdoc will lead data management and analysis of a linked administrative dataset comprised of New Jersey birth and hospital records, Medicaid claims, and housing service records. The postdoc will also implement quasi-experimental and causal inference methods in these data, assemble and summarize relevant literature, and will be encouraged to develop their own independent research program in maternal and child health and/or housing and homelessness policy. There will be opportunities for authorship on publications, presentation at national and international conferences, teaching, and collaboration on grant proposal development.The position will have a start date between January and July 2026, depending on the needs of the project and the chosen candidate. Initial term of appointment is two years contingent on performance and is renewable contingent on continued funding and continued satisfactory performance.Duties include: Manage databases, develop analytical plans, and carry out statistical analysis for manuscripts, reports, and presentations using Stata (preferred) or R. Lead, draft, and publish papers in peer-reviewed journals. Give oral presentations to disseminate research findings FLSA Exempt Grade Salary Details $75,000 Minimum Salary 20,000 Mid Range Salary 90,000 Maximum Salary 200,000 Offer Information The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. Benefits 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 Position Status Full Time Working Hours 37.50 Standard Hours 37.50 Daily Work Shift Day Work Arrangement Union Description Post Docs - Regular Salaried Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience Certifications/Licenses Required Knowledge, Skills, and Abilities Doctorate/terminal degree (e.g., PhD, ScD) in a quantitative field relevant to population health, including but not limited to Economics, Demography, Quantitative Sociology, Health Policy, Public Policy, Biostatistics, Statistics, or Health Services Research. Applicants in All But Degree (ABD) status will be considered for interviewing  Knowledge of and demonstrated interest in social determinants of health. Excellent data management and analysis skills. Experience with quasi-experimental and causal inference methods. Advanced proficiency in Stata (preferred) or R, and ability to work with large complex data sets. Ability to efficiently prioritize and execute projects independently and efficiently, with attention to detail. Track record of first authored peer-reviewed publications (as appropriate for level of experience and field of study). Excellent written and verbal communication skills. Team player, with experience in collaborative and interdisciplinary research. Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Special Conditions