Job ID: 5707
Job date: 2017-08-26
End Date:
Company : University of California Country : Role : Postdoc
Job date: 2017-08-26
End Date:
Company : University of California Country : Role : Postdoc
Job Description:
Dr. Bin Chen's lab at UCSF is seeking highly motivated 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 UCSF and Stanford University, 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 millions of electronic medical records at UCSF. Qualifications: 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 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.
Additional Info:
Start date: As soon as possible How to Apply: Please email your CV, one or two relevant publications and names of at least three references to Bin Chen (bin.chen@ucsf.edu) Contact Bin Chen bin.chen@ucsf.edu[Click Here to Access the Original Job Post]
Dr. Bin Chen's lab at UCSF is seeking highly motivated 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 UCSF and Stanford University, 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 millions of electronic medical records at UCSF. Qualifications: 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 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.
Requeriments :
Skills :
Areas :
Additional Info:
Start date: As soon as possible How to Apply: Please email your CV, one or two relevant publications and names of at least three references to Bin Chen (bin.chen@ucsf.edu) Contact Bin Chen bin.chen@ucsf.edu[Click Here to Access the Original Job Post]