Postdoctoral Associate
Listed on 2026-07-01
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Research/Development
Data Scientist, Research Scientist, Clinical Research -
Healthcare
Data Scientist, Clinical Research
Postdoctoral Associate
Rutgers School of Health Professions (SHP) is seeking a Postdoctoral Associate to work in the Department of Clinical and Preventive Nutrition Sciences, Rawal Nutrition and Health Lab. The Department of Clinical and Preventive Nutrition Sciences at Rutgers School of Health Professions is seeking a highly motivated Postdoctoral Associate to join an active research program focused on maternal and cardiometabolic health across the life course.
Under the direction of the Principal Investigator (PI), the Postdoctoral Associate will contribute to one or more NIH-funded research projects led by the lab. The lab's work broadly centers on the development, evaluation, and implementation of technology-enabled interventions aimed at both prevention and management of pregnancy-related conditions and complications (including gestational diabetes, hypertensive disorders of pregnancy, and excessive gestational weight gain) and their downstream maternal and neonatal sequelae.
The Postdoctoral Associate will assist with scientific and operational aspects of ongoing studies. Responsibilities may include finalizing study protocols; developing manuals of operations and training materials; preparing, submitting, and maintaining IRB documentation; coordinating with domestic and international collaborators; and ensuring high protocol fidelity across study sites. The Postdoctoral Associate will participate in regular investigator meetings and contribute to study oversight, data monitoring, and interpretation of findings.
The Postdoctoral Associate will lead or co-lead data analyses and play a key role in the dissemination of research findings through peer-reviewed publications and conference presentations.
This position provides strong opportunities for manuscript writing, grant development, study design, and hands-on experience with innovative research methods and digital health technologies. Priority will be given to candidates with expertise in one or more of the following areas: maternal and child health, clinical trials or intervention research, mHealth or digital health, nutritional epidemiology, or implementation science.
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