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"Research Assistant Professor"

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Research Assistant Professor

Description

The University of Chicago's Department of Family Medicine/Institute for Population and Precision Health in the Biological Sciences Division is searching for a Research Assistant Professor whose primary activity will be academic research in association with a faculty member or team. The appointee will primarily conduct research applying advanced machine learning/AI (including techniques like deep learning) to analyze complex biological and clinical data (e.g., single-cell multi-omics, microbiome, imaging, transcriptomics, EHR) within the fields of precision health, immunology, metabolism, genetics and population health.

Position Responsibilities

The appointee will be expected to develop an independent, externally-funded research program that leverages their computational and biological systems expertise to complement existing research at UChicago. Responsibilities will also include supervising graduate students and/or postdoctoral researchers.

Compensation (including a generous package of fringe benefits) is dependent upon qualifications. For information on benefits, please consult the University of Chicago Benefits Guide:
https://mybenefits.nfp.com/UChicago/benefits-guide/.

Required Qualifications

Prior to the start of employment, applicants must have:

  1. a doctoral degree in Computational Biology, Bioinformatics, Computer/Data Science, Genomics, Biostatistics, Epidemiology, or a related discipline; and
  2. completed postdoctoral training.

Preferred Qualifications

We especially welcome applicants with experience analyzing large-scale cohort or multi-modal clinical/biological datasets and familiarity with study designs, project/data management, and implementing analytical protocols. Publication record and ability to obtain extramural grants will be considered.

Application Process

To be considered, those interested must apply through The University of Chicago’s Academic Recruitment job board, which uses Interfolio to accept applications:
http://apply.interfolio.com/167266.

Applicants must upload a cover letter, CV including bibliography, and contact information for 3 references. Review of complete applications will continue until the position is filled.

For instructions on the Interfolio application process, please visit:
http://tiny.cc/InterfolioHelp.

Additional Information

The University of Chicago is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

For help signing up, accessing your account, or submitting your application please check out Interfolio's help and support section or get in touch via email at help@interfolio.com or phone at (877) 997-8807.

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