About the job
Our Cognitive Neurology and Alzheimer's disease research group is seeking a postdoctoral fellow to work with our world-class investigators in the Division of Cognitive Aging and Dementia. The candidate will be under direct supervision of Dr. Richard Lipton, M.D. and Dr. Ali Ezzati, M.D. and will interact intensively with our multidisciplinary team of expert faculty in Neurology, Epidemiology, and Statistics.
This is an excellent opportunity for candidates who are interested to peruse a career in neuroscience, data-science, machine learning, or digital health. The candidate will be functioning somewhat independently, and will work with large data from several cohorts and clinical trials; run analytical models on longitudinal data; develop novel predictive models and analytical tools; summarize findings and publish results in research journals; assume general responsibility for scientific operations of the laboratory; provide supervision and guidance to junior technicians, students, and researchers.
This is an immediate position and requires two years commitment. Majority of our research could be conducted remotely, and we will consider applicants for a remote position (USA-based only). We emphasize the development of research skills for all lab members. Areas of content expertise in our research group include clinical Neurology, Aging and Dementia, Alzheimer's disease, Migraine disorder, Headaches and other pain disorders, epidemiology, statistics, machine learning techniques, scientific project management, oral presentations, written communication, scientific publication, and grant writing.
Applicants should submit to Dr. Ali Ezzati, M.D (email@example.com) a cover letter describing your background and interests along with a CV and contact information for 3 references (they won't be contacted before potential interview).
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.