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How to Apply

Interested applicants should send a letter of interest, curriculum vitae, statement of research accomplishments (1 page), and contact details of at least two references to Drs. Maureen Sartor ( and Alla Karnovsky (  Women and those from underrepresented groups are strongly encouraged to apply.



The Department of Computational Medicine and Bioinformatics (DCMB, Medical School) is seeking a highly motivated Bioinformatics Early Career Research Faculty member. This position is available immediately, and the specific position title will be negotiated depending on the experience and career goals of the candidate. Initial funding will be supported by a prestigious NIH Director’s Transformative Research Award to perform innovative, cross-disciplinary multi-omics research in the areas of epigenomics, gene expression, metabolomics, and eQTL analyses, and develop novel data science approaches in these areas. The faculty member will work jointly with Drs. Maureen Sartor (Professor of DCMB and Biostatistics) and Alla Karnovsky (Associate Professor of DCMB) with a strong mentoring team, initially focusing on a project to discover novel strategies for personalized treatment and prevention of amyotrophic lateral sclerosis (ALS), with numerous opportunities to expand into cancer and other disease research, and to form additional collaborations. Multiple publications as part of our team science efforts are expected. The initial funding is for a 4-year period, with an opportunity for promotion to multiple faculty tracks. The successful candidate will benefit from a partnership with the Michigan Neuroscience Institute (MNI), which provides a forum for neuroscientists across the University of Michigan campuses to share resources, exchange ideas, and collaborate.


Required Qualifications*

Ph.D. degree in bioinformatics, computational neuroscience, biomedical informatics, genetics/genomics, or a related field. The successful applicant will have a record of multiple first author peer-reviewed publications, experience with analysis of multiple types of omics data, be comfortable working in Linux and R, have training in statistics, and have strong communication, writing, and interpersonal skills. Experience in mass spectrometry and metabolomics data analysis, and Python are preferred. Prior research in neuroscience/neurology or cancer is a plus.  

Underfill Statement

There is the possibility of underfilling this position with a Research Investigator depending on the skills and experience of a current Postdoctoral Fellow aligning with the research team's mission. 

U-M EEO/AA Statement

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

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