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Job Summary

Dr. Lana Garmire's Lab in the Department of Computational Medicine & Bioinformatics is seeking a Research Area Specialist Associate to develop and apply machine learning and bioinformatics method, visualization and algorithm to predict patient phenotypes using single cell, imaging, and genomics data. To collaborate with a multi-disciplinary team to advance computational analysis in various projects (eg. imaging and single cell analysis in cancer or pregnancy adversity). This research associate is expected to submit at least one first-author high quality journal paper per year. 

Required Qualifications*

  • MS degree in statistics, biostatistics or major data science major, with excellent programming skills in languages such as R and Python.
  • 1 year experience in related field 
  • Being familiar with machine learning and electronical health record data for disease diagnosis and prediction analysis.
  • He/She is expected to collaborate with others to develop new computational methods to integrate data stes, and expected to lead on projects, write and publish scientific results. He/She is expected to help with grant preparation and some other minimal lab managemental tasks upon assignment. 

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.