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Postdoctoral Position in the Division of Neurocritical Care & Emergency Neurology at Yale
Yale University in New Haven, Connecticut
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Date Posted March 26, 2019

Employment Type Full-time
Application Deadline Open until filled

Posting Date: November 2018

The Division of Neurocritical Care & Emergency Neurology at Yale has a strong track record of training outstanding postdocs who go on to successful high impact careers in biomedical research. This is an opportunity for a highly motivated individual with a background in biological or data sciences to perform cutting-edge research utilizing novel clinical, physiological, and quantitative data assembled from human subjects with acute brain injury, including stroke. The post-doc would be supervised by Dr. Kevin Sheth in close collaboration with several investigators across Yale (and possibly across the country). The incumbent will advance research focused on highly innovative technologies, coupled with therapeutic pathways, in patients, with a focus on ischemic and hemorrhagic stroke and recovery. Visa sponsorship for non-US applicants is possible.

The post-doc will be responsible for project management, preparation of materials, writing of manuscripts and grant applications, supervision of coordinators, presentations at regional and national/international conferences. With support from faculty members, the post-doctoral fellow will design and implement studies and analyses, analyze relevant data and lead manuscript and grant writing activities. We are committed to tailoring the experience to career goals.

Qualifications include MD, PhD, ScD, DrPH, MPH or MSc, proven experience in multi-tasking and project closure, and formal training in quantitative sciences.

We would require exceptional time management and organizational skills and working with deadline pressure, ability to conceptualize and conduct complex analyses, and capacity for independent work. The individual must have excellent inter-personal skills, exceptional technical skills and preferably a familiarity in engineering or computer science, time-series analysis and facility with statistical and programming software (MATLAB, R, SQL, Stata). An ability to create stand-alone executables for time-series analysis which can be used by others and for real-time time-series analysis are a plus. This position is funded for 2 years. Familiarity and enthusiasm regarding working with novel sensors and wearable technology in neurological disease is desired.

Interested candidates should contact Kevin Sheth, MD at kevin.sheth@yale.eduand/or Hitten Zaveri, MD at

Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans and underrepresented minorities.

*Please mention to employers when applying for this job*
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