A cover letter is required for consideration for this position and should be attached as the first page of your CV. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
The Department of Learning Health Sciences (DLHS) is a first-in-the-nation basic science department focused on the sciences related to learning across multiple levels of scale (i.e. individual, group, organization, region, nation). DLHS works to improve health in systemic ways by advancing the sciences that make learning effective, routine, and efficient. Our bold research programs generate new knowledge that enhance learning at all levels; our innovative educational programs train new researchers and practitioners in the sciences of learning; our collaborative service programs enhance health professions curricula and guide health systems as they evolve to become learning health systems. More information about DLHS is available at: https://medicine.umich.edu/dlhs
DLHS is seeking a highly motivated individual to join a dynamic research group focused on text analysis and natural language processing of health data. The NIH-funded postdoctoral position involves developing and evaluating computable phenotyping algorithms to identify patients living with dementia and their caregivers. Successful candidate will be an integral part of a team consisting of researchers having clinical and informatics expertise, and work on a highly collaborative research project with multiple opportunities to interact with experts and thought leaders in Alzheimer’s disease and related dementia.
The candidate will be responsible in implementing computational methods and demo systems for cohort identification and information extraction focused on people living with dementia and their caregivers. They will design, conduct, and analyze responses to multi-institutional surveys to inform best practices in pragmatic clinical trials related to dementia. The candidate will also contribute in writing research papers and technical reports based on his/her work.
PhD or MD,
Working knowledge of health infrastructures and healthcare setting in the United States
Strong written and verbal communication skills to effectively communicate to an interdisciplinary audience
Sharp attention to detail
Willingness and ability to follow instructions and work in teams
Prior experience working with clinical or health-related free text or in statistical machine learning and text processing.
Prior experience in conducting surveys in multi-institutional settings
Software development experience in high performance computing clusters
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.
Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
The University of Michigan is an equal opportunity/affirmative action employer.
Internal Number: 194297
About University of Michigan - Ann Arbor
A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.