BACKGROUND

Research:
Our research focuses on the development of novel computational approaches to best characterize carcinogenesis, drugs' mechanisms of action and their therapeutic potential, from high-throughput genomic data. We have strong expertise in machine learning applied to biomedical problems, including the development of robust prognostic and predictive biomarkers in cancer. Our large network of national and international collaborators, including clinicians, molecular biologists, engineers, statisticians and bioinformaticians, uniquely positions us to perform cutting-edge translational research to bring discoveries from bench to bedside. See our lab website for further information: http://www.pmgenomics.ca/bhklab/

Project:
We seek a postdoctoral fellow for a project that aims at modeling the co-dependencies between tumor cells and their microenvironment to select drugs to inhibit these interactions. As part of this collaborative project, an unpublished dataset has been generated, which includes ~80 matched pairs of tumor epithelial and stromal cells in several aggressive cancer subtypes. The plan is to combine this unique dataset with the large pharmacogenomic data we recently collected in the lab to implement a novel drug repurposing pipeline.

Lab director:
Dr. Benjamin Haibe-Kains, has over 10 years of experience in computational analysis of genomic data, including genetic and transcriptomic data. He is the (co-)author of more than 80 peer-reviewed articles in top bioinformatics and clinical journals. For an exhaustive list of publications, go to Dr. Haibe-Kains' Google Scholar Profile.

Princess Margaret Cancer Centre:
The Princess Margaret Cancer Centre (PM) is one of the top 5 cancer centres in the world. PM is a teaching hospital within the University Health Network and affiliated with the University of Toronto, with the largest cancer research program in Canada. This rich working environment provides ample opportunities for collaboration and scientific exchange with a large community of clinical, genomics, computational biology, and machine learning groups at the University of Toronto and associated institutions, such as the Hospital for Sick Children and the Donnelly Centre.

BACKGROUND

REQUIREMENTS

PREFERENCES

HOW TO APPLY