Position Summary

The Bin Chen Laboratory (http://binchenlab.org) 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 help refine the models and 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 transfer learning algorithms to discover novel therapeutics and transfer knowledge between preclinical and clinical models
2. Improving and implementing a systems-approach (http://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)

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. 

Equal Employment Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.

Required Degree

Doctorate -Bioinformatics, Chemical Informatics, Bi

Minimum Requirements

• Ph.D. or M.D./Ph.D. in Bioinformatics, Chemical Informatics, Biostatistics, Statistics, Computational Biology, Informatics, Computer Science, or a related field.
• Experience with machine learning/statistical learning
• Prior evidence of productivity, creativity, and passion for drug discovery

Desired Qualifications

• Excellent communication skills in English
• Proficiency in using R/Bioconductor and Python
• Strong background in cancer genomics and computational drug discovery

Required Application Materials

CV and cover letter

Special Instructions

Please attach cover letter and CV to your application.

Review of applications will begin immediately and continue until the position is filled.

Review of Applications Begins On

02/11/2021

Website

HTTP://PHD.MSU.EDU

Department Statement

Established in 1968 with the formation of the Michigan State University College of Human Medicine, the Department of Pediatrics and Human Development seeks to balance behavioral science, basic biological research, and clinical pediatrics into a comprehensive approach to the health and development of the child and the family.

MSU Statement

Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.