We are seeking to fill a post-doctoral fellow position to work on NIH funded studies to understand the underlying biological and genetic mechanisms of Motoric Cognitive Risk syndrome (MCR), a pre-dementia syndrome associated with increased risk of developing Alzheimer’s disease and related dementias. The post-doctoral fellow will be responsible for processing, analyzing, and harmonizing and managing biological and clinical data from 8 cohorts including over 11,000 participants from around the world. The fellow will be involved in tracking progress and communicating with the investigators and coordinators at study sites. The fellow will work with a multidisciplinary team of investigators and have the opportunity to develop their own independent research projects, make scientific presentations, and publish manuscripts. Strong mentoring and training support will be provided by an internationally recognized team of researchers.
The Division: The Division of Cognitive & Motor Aging in the Saul R. Korey Department of Neurology at the Albert Einstein College of Medicine, a national leader in medical education, basic research, and clinical practice is located in Bronx, New York. The Division is directed by Dr. Joe Verghese, an expert on aging who assesses how diseases and aging affect cognitive ability and mobility in older adults. The work in the Division of Cognitive & Motor Aging seeks to cover a wide range of research and clinical studies of older adults to investigate the links between cognitive and motor pathways in an aging population. Over the last decade it has set the precedent for true interdisciplinary collaborations, where clinical work from a team of neurologists, geriatricians, neuropsychologists, physiatrists, epidemiologists, biostatisticians and bioengineers synergistically informs research, and investigations are defined by the cross-pollination of diverse scientific knowledge.
Ph.D. in health sciences, psychology, public health or related fields required
Previous experience working with large datasets is strongly preferred.
Statistical skills working with SAS, SPSS, Stata or other equivalent software.
Previous research experience and interest in working with genetic and/or biomarker data is preferred.
Excellent written and oral communication skills.
Telecommuting is allowed.
Internal Number: 1
About Albert Einstein College of Medicine
Founded in 1955, the Albert Einstein College of Medicine (Einstein) is one of the nation’s premier institutions for medical education, basic research and clinical investigation. A full-time faculty of some 2,000 conducts research, teaches, and delivers health care in every major biomedical specialty. The college has some 730 medical students, 193 Ph.D. students, 106 MD/Ph.D. students and 275 postdoctoral fellows.
Einstein’s major strength, in addition to training physicians and scientists, is its science. During fiscal year 2015, the faculty’s consistently high level of scientific achievement resulted in the awarding of more than $150 million in peer-reviewed grants from the National Institutes of Health (NIH).
Einstein is part of Montefiore Medicine Academic Health System, an integrated academic delivery system comprising seven campuses, including 8 hospitals, a multi-county ambulatory network, a new state-of-the art “hospital without beds”, a skilled nursing facility, school of nursing, home health agency, and the state’s first freestanding emergency department. As the University Hospital for the Albert Einstein College of Medicine, Montefiore is a premier academi...c health system, employing Einstein’s clinical faculty and training Einstein’s medical students, over 1,300 residents, 420 allied health students, and 1,600 nursing students annually.
We have also been recognized by Forbes as one of the country's best midsize employers in 2019. Forbes ranked Einstein in the top overall nationally among midsize employers. Einstein ranked 3rd within the education category in New York State and 9th nationally among all midsize education employers.
The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Einstein seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence, and the communities we serve.