Date Posted: Mar 2, 2018
Application Deadline: Open Until Filled
- Michigan State University
- Location: Grand Rapids, MI
- Job Number: 7050195
- Posting Date: Mar 2, 2018
- Application Deadline:
Open Until Filled
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 could even lead therapeutic discovery? Yes, we believe we can. If you share the same vision and passion, you are most 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 and 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 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 have an exciting opportunity to mine billions of electronic medical records.
Don't worry if you don't have any 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, one of the best places for work-life balance.
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.
Please email your CV, one or two relevant publications and names of at least three references to Bin Chen (firstname.lastname@example.org).