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Post-doctoral fellow in big data, AI and drug discovery

Michigan State University
United States Michigan Grand Rapids
http://binchenlab.org/

Description

As a data scientist, can you imagine the moment when the life of a patient is saved because of your work? Have you ever thought that a data scientist can even lead therapeutic discovery? Yes, we believe we can. If you share the same vision and passion, you are welcome to join Prof. Bin Chen's lab (http://binchenlab.org/) at Michigan State University (MSU).

Chen lab is moving to MSU in April 2018, and is seeking highly motivated research associates, postdoctoral scholars, to conduct translational bioinformatics research with a focus on individualized cancer therapy. The goal of Chen lab is to develop tools and methods to identify new or better therapeutics for cancers. The recent lab work was published in Gastroenterology and Nature Communications, and featured in STAT, GEN, GenomeWeb and KCBS. The liver cancer work was featured in the UCSF Magazine Winter 2018 and the UCSF Cancer Year in Review 2017. The candidates will have the opportunity to collaborate with outstanding bench scientists and clinicians at MSU, Van Andel Institute, Spectrum Health, UCSF and Stanford, and to apply the cutting-edge technologies (e.g., deep learning) and emerging open big data (e.g., single cell, RNA-Seq, proteomics) into drug discovery. The candidates will also have the exciting opportunity to mine billions of electronic medical records.

Don't worry if you don't have drug discovery background, but you are expected to have strong computational/statistical skills with strong motivation for therapeutic discovery. We primarily use open big data and develop open source tools (https://github.com/Bin-Chen-Lab). We ensure that your prediction can be validated in the lab very quickly. This position is located in Grand Rapids, a beautiful city where you can enjoy both life and work.


Qualifications

Ph.D. or M.D./Ph.D. in Bioinformatics, Chemical Informatics, Biostatistics, Statistics, Physics, Computational Biology, Informatics, Computer Science, or a related field.
Experience with machine learning/statistical learning is required.
Prior evidence of productivity, creativity, and passion for drug discovery is expected.
Excellent communication skills in English are desirable.
Proficiency in using R/Bioconductor and Python is preferred.


Start date

April 01, 2018

How to Apply

Please email your CV, one or two relevant publications and names of at least three references to Bin Chen (binchengroup@gmail.com).


Contact

Bin Chen
binchengroup@gmail.com