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How to Apply

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.

Job Summary

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:  

DLHS is seeking a highly motivated, talented researcher with experience in natural language processing (NLP) and deep learning to join a dynamic research group focused on text analysis and NLP of health data. This NIH-funded postdoctoral position involves developing and evaluating computable phenotyping algorithms to identify patients living with dementia and their caregivers. The successful candidate will be an integral part of a team consisting of researchers with both clinical and informatics expertise, and will 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 for implementing computational methods and demo systems for cohort identification and information extraction focused on people living with dementia and their caregivers. The candidate 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 to writing research papers and technical reports based on his/her work.


Mission Statement

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.

Required Qualifications*

  1. PhD or MD,  

  2. Working knowledge of health infrastructures and healthcare setting in the United States

  3. Strong written and verbal communication skills to effectively communicate to an interdisciplinary audience

  4. Sharp attention to detail

  5. Willingness and ability to follow instructions and work in teams

Desired Qualifications*

  1. Prior experience working with clinical or health-related free text or in statistical machine learning and text processing.

  2. Prior experience in conducting surveys in multi-institutional settings

  3. Should be proficient in programming in multiple languages (Python, C++, Java, Web scripting languages such as JavaScript)

  4. Software development experience in high performance computing clusters

Background Screening

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.

Application Deadline

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.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.