NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health , the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu , and interact with us on LinkedIn , Glassdoor , Indeed , Facebook , Twitter and Instagram . Position Summary: The Research Data Associate will draw on diverse sets of data and programming skills, in order to accelerate and facilitate the research endeavors of the Environmental Pediatrics Division of the NYU School of Medicine. Specifically, this candidate will work closely with the Principal Investigator, Senior Data Manager and Research Scientist in order to collaborate on several projects that intend to measure the health and economic impacts of exposure to environmental chemicals in mothers, infants and adolescents. Specifically, the candidate will be working on a large prospective cohort study of pregnant women and their children that aims to study the effects of prenatal and early-life environmental exposures on children's health and development. Women are recruited during pregnancy through their prenatal care visits and followed, along with their child, through the years of early childhood. Biological specimen (i.e., serum, urine, etc.) are collected throughout pregnancy, at birth, and postnatally and stored for future analysis. This study will leverage data from questionnaires, medical records, and this biobank. The candidate will be responsible for processing, harmonizing, cleaning, and managing the research data from all sources, as well as conducting statistical analysis.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Associate degree
Number of Employees
5,001-10,000 employees