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Up Directory CCL 21.01.29 Postdoc in OMICS-based drug discovery
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Date: Fri Jan 29 18:08:42 2021
Subject: 21.01.29 Postdoc in OMICS-based drug discovery
The Bin Chen Laboratory ( uses big data and artificial 
intelligence to discover new or better therapeutic candidates. The lab has 
collected over 30,000 bulk RNA-Seq profiles and millions of single-cell 
RNA-Seq profiles and drug-induced gene expression profiles. The lab is 
now capable of screening drug candidates from millions of novel compounds 
for a given disease gene expression signature. Our postdoctoral Research 
Associate will join a team to refine the models and translate these data into
 therapeutics. In addition, the successful candidate is expected to lead 
or assist with any of the following projects: (1) Developing deep learning 
and transfer learning algorithms to discover novel therapeutics and transfer
 knowledge between preclinical and clinical models and (2) Improving
 and implementing a systems-approach ( to discover therapeutics 
for various diseases. The candidate will be closely working with 
Prof. Jiayu Zhou's lab on machine learning model development. We welcome the 
candidates with a strong background in chemical structure embedding and deep 
learning to apply.

The Chen Lab is located along the Medical Mile in beautiful downtown Grand 
Rapids. Our Secchia Center facilities are modern and comfortable. We are 
a welcoming team with members from all over the world. Our work depends on 
close collaborations with outstanding bench scientists, data scientists, 
and clinicians; the successful candidate will have the opportunity to form 
strong working relationships at Michigan State University, Van Andel 
Research Institute, Spectrum Health, the University of California Berkeley, 
the University of California San Francisco, and Stanford University. Recent 
Chen Lab work has been published in Gastroenterology, Nature Communications,
 Nature Protocols, and Nature Reviews Gastroenterology and Hepatology, and 
featured in STAT, GEN, GenomeWeb, and KCBS.

Minimum Requirements
Ph.D. or M.D./Ph.D. in Bioinformatics, Chemical Informatics, Computational Chemistry
Strong experience with machine learning/statistical learning
Prior evidence of productivity, creativity, and passion for drug discovery

Desired Qualifications
Proficiency in using R/Bioconductor and Python
Experience with Pytorch, deep learning and GCN
Strong background computational drug discovery
Excellent communication skills in English
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