Rutgers University-posted 6 months ago
$114,622 - $134,926/Yr
Full-time • Entry Level
New Brunswick, NJ
Educational Services

The Center for Healthy Aging (CHA), a unit of the Rutgers the Institute for Health, Health Care Policy, and Aging Research (IFH), is recruiting two faculty members with demonstrated ability to develop and lead programs of research which address risk and protective factors for age-associated cognitive decline and dementia, health disparities leading to unequal burden of age-associated cognitive decline and dementia, and novel investigative tools and strategies for probing the aging brain (including genomics, transcriptomics, proteomics, metabolomics). These positions offer unique opportunities for collaborating with scientists within the Asian Resource Center for Minority Aging Research, New Jersey Minority Aging Collaborative, New Jersey Cohort Study, and other on-going IFH research programs related to aging and memory. Ideal candidates will bring vision and experience in modern aging and memory research, methodological innovation (eg, multi-omics, machine learning, remote assessment), and enthusiasm for team science and collaboration. Faculty will work collaboratively with CHA, IFH and Rutgers leadership to develop signature research programs to advance human aging and memory research, reduce the personal and societal impact of chronic age-related illnesses, and enhance on-going multi-disciplinary research initiatives focused on health disparities.

  • Develop and lead programs of research addressing cognitive decline and dementia.
  • Collaborate with scientists and research programs related to aging and memory.
  • Innovate methodologies in aging and memory research.
  • Engage in team science and collaborative research efforts.
  • Advance research programs to reduce the impact of chronic age-related illnesses.
  • PhD, MD, or MD/PhD in a relevant field.
  • Demonstrated ability to develop and lead research programs.
  • Experience in aging and memory research.
  • Experience with multi-omics and machine learning.
  • Enthusiasm for team science and collaboration.
  • Medical, prescription drug, and dental coverage.
  • Paid vacation, holidays, and various leave programs.
  • Competitive retirement benefits, including defined contribution plans.
  • Employee and dependent educational benefits.
  • Life insurance coverage.
  • Employee discounts programs.
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