The Department of Biostatistics and Medical Informatics at the University of Wisconsin-Madison invites applications for a talented and motivated post-doctoral research associate to work at the interface of cancer biology, statistics, and bioinformatics. The post-doctoral associate will work under the supervision of Dr. Christina Kendziorski. The primary research focus will be on developing statistical and computational methods that integrate data from multiple sources to identify biomarkers useful for predicting risk to and/or treatment response within specific cancers. In addition to conducting creative, independent, and cutting-edge research, the associate will also be invited to co-lead an effort that extends latent Dirichlet allocation (LDA) models and computer graphics to address these goals, and so expertise in LDA, related methods for topic modeling, and/or visualization is a plus.
The ideal candidate will hold a Ph.D. in statistics, computer science, biostatistics, or a related field, be well versed in R, be comfortable working at the interface of biology and statistics, and be familiar with processing at least a few types of high-dimensional data (e.g. microarray, second-generation sequencing, electronic medical records, etc.).
Salary Range: Commensurate with experience
Benefits: http://www.grad.wisc.edu/research/postdocs/geninfo.html
Applying: Applications should include a letter describing the candidate's research and future goals, a curriculum vitae, and names and contact information of at least three references. Please send applications to Professor Christina Kendziorski (kendzior@biostat.wisc.edu). Consideration of applications will begin immediately, and continue until the position is filled.
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