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[Employment] Research Fellow at University of Michigan

emap3088 from gmail.com via biojobs%40net.bio.net (by emap3088 from gmail.com)
Fri Jan 11 01:32:40 EST 2019


Interested individuals should submit an electronic application through this site and submit their (1) CVs; (2) evidence of programming skills; and (3) three reference letters. Send all application materials to Dr. Alex Lam C Tsoi via email: (alextsoi from med.umich.edu).

Job Summary

We are an expanding research team in the Department of Dermatology at the University of Michigan (U-M) Medical School. We are interested in the genomic basis of complex skin diseases, and have access to large amounts of unique genetic, transcriptomic, epigenetic, and clinical data.

A postdoctoral position is available for an individual interested in

 Developing computational/machine learning approaches for analyzing biological/biomedical data

 Data-mining biomedical information from electronic health records, and integrating with molecular data

 Conducting systems biology researches and analysis for high dimensional data

Candidates should have: (1) a PhD in computer science, biomedical informatics, statistics, computational biology, or a related field; (2) strong programming skills in traditional programming or scripting languages; (3) a strong interest in conducting biomedical research and designing innovative analysis pipelines to study high dimensional data; (4) excellent communication and writing skills, and a commitment to engaging in highly collaborative team science; and (5) a track record of appropriate scientific accomplishments, reflected in peer-reviewed publications.

Prior experience in conducting research in analyzing medical health records is a strong plus. Research experience in machine learning and/or analyzing genomic data is strongly preferred.

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.

For instructions on how to apply, please refer to: http://bit.ly/2SMJXWp



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