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Posted August 7, 2020

My collaborators and I have a posdoctoral position open related to a project in cancer genomics and informatics, specifically breast ductal in situ carcinoma (DCIS). The project is led by a multidisciplinary team comprised of Dr V Dumeaux at Concordia (Montreal), Dr E Rakovitch at Sunnybrook Hospital (Toronto), myself and collaborators at the OICR (Toronto), UBC (Vancouver) and MD Anderson (Texas), providing an excellent training environment. This is a CIHR funded project and involves the analysis of a large collection of profiles of DCIS tumors towards specific clinical end-points.

We really need someone here who has a solid background in statistics and data science, preferably with previous experience in the genomics and bioinformatics arenas. The position would be co-superivsed by Dr Dumeaux and myself. We are happy to work with you to provide a sufficient level of understanding with respect to the underlying biology and clinical aspects of the project.

Ideal candidates will have:

  • Ph.D. in biostatistics, computational biology, data science, epidemiology, or related disciplines
  • expertise in manipulation, analysis, and visualization of high-throughput genomics data
  • programming experience using R and/or Python.

Duration: 1 year (but with potential for longer) Salary: 60K / year + benefits Location: Canada (Montreal or remotely within the country)

Please send a CV to mail.  Please ensure that you describe your previous academic training, research experience or other items you deem relevant to this position.


Posted February 2019

##Ph.D. student Computational biology related to fungal biology. Ideally the candidate would have a strong background in computational biology and/or depth in machine learning and statistics. The project is related to the development of probabilistic models in microbial genomics.  Previous coursework related to chemistry, biochemistry and/or fungal biology would be helpful.

Please send a CV to mail.  Please ensure that you describe your previous academic training, research experience or other items you deem relevant to this position.


##Bioinformatics and Genomics projects (BIOL 490 and BIOL 516) They can range from building biotech devices (eg DIY microscopes, sequencers, microfluidics) to bioinformatics projects related to breast cancer or synthetic biology or fungal genomics projects.