Job Location: School of Medicine Job Category: Research Date Posted: June 1, 2011 Postdoctoral Fellow in Computational Biology We are seeking a postdoctoral fellow in computational biology to study the self-renewal properties of cancer in our NIH funded Center for Cancer Systems Biology (ccsb.stanford.edu). The successful candidate will work in a multidisciplinary environment to develop and apply new computational algorithms that integrate diverse high-throughput molecular cancer datasets, including microarray gene expression, sequencing and proteomics data. The candidate will be expected to reconstruct transcriptional and signaling networks of cancer and identify likely drivers of disease progression. S/he will work closely with experimental molecular biologists to translate computationally-derived results into experimentally testable hypotheses and analyze the resulting data from the experiments. Candidates must have a strong quantitative background, with a PhD in computational biology, or related work in engineering, computer science, statistics, or mathematics. Strong knowledge in machine learning and programming (C/C++. MATLAB, or R) are required. Knowledge in graph theory, survival analysis, and sparse regression are desirable. Excellent verbal and written communication skills are essential. Interested candidates should e-mail a cover letter describing research experience, accomplishments and research interests, CV and 3 references to Professor Sylvia Plevritis, sylvia.plevritis@stanford.edu, with the subject line: Postdoctoral Fellowship in Computational Biology -- Anita Samantaray, MPH anitas1@stanford.edu Program Manager Center for Cancer Systems Biology Stanford University School of Medicine Phone: 650.725.6070 http://ccsb.stanford.edu