|CCL 19.04.18 Postdocs in Big Data, AI and Therapeutic Discovery at Michigan State University|
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To: jobs at ccl.net
Date: Thu Apr 18 09:50:20 2019
Subject: 19.04.18 Postdocs in Big Data, AI and Therapeutic Discovery at Michigan State University
Position Summary The Bin Chen Laboratory (http://binchenlab.org/) uses big data and artificial intelligence to discover new or better therapeutic candidates. The lab employs a systems approach to identify drug candidates based on the potency to reverse disease molecular signatures (Chen, Nature Communications, 2017). We have collected over 20,000 bulk RNA-Seq profiles and millions of single-cell RNA-Seq profiles and drug-induced gene expression profiles, and our in-house lab pipeline processes over 100 RNA-Seq samples every day. Our postdoctoral Research Associate will help translate these data into therapeutics. The successful candidate is expected to lead or assist with any of the following projects: 1. Developing deep learning and deep reinforcement learning algorithms to design novel therapeutics 2. Improving and implementing the systems-approach (octad.org) to discover therapeutics for various diseases (including liver cancer, DIPG, melanoma, MODS, metastatic breast cancer or any other conditions you are passionate about) 3. Mining single-cell RNA-Seq data to find drugs that target tumor microenvironment or regulate cell activity 4. Leveraging cell line data to identify drug biomarkers for individualized cancer therapy 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, and Nature Reviews Gastroenterology and Hepatology, and featured in STAT, GEN, GenomeWeb, and KCBS. If you are a computational chemist, you will expand the knowledge in cutting-edge machine learning methods as well as big genomic data. Required Degree Doctorate -Computational chemistry, Cheminformatics, Bioinformatics, Biostatistics, Computer Science Minimum Requirements A doctoral degree in Computational Chemistry, Bioinformatics, Biostatistics or Computer Science or related field Experience with machine learning/statistical learning is required. Strong computational/statistical knowledge is essential. Desired Qualifications A demonstrated history of productivity, creativity, and passion is expected. Excellent written English communication skills are desirable R/Bioconductor and Python proficiency are preferred.
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