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The opportunities:

A summer undergraduate research assistant position is available. For details, please go to: 

A post-doctoral fellow (PDF) position is available in the research team of Professor Michael Olson, In this position, you will use xenograft and genetically-modified (GM) in vivo models to learn more about the role of Rho signalling in tumour growth and progression, related to previous studies from the Olson lab (e.g. Elife. 2021 Apr 19;10:e61983; Cancer Res. 2018;78:3321; EMBO Mol Med. 2017;9:198; Cancer Cell. 2011;19:776). The research you undertake will employ a variety of genetic, biochemical and imaging based methods that take advantage of the advanced state-of-the-art technical resources available in the Discovery District of downtown Toronto.

In addition to conducting research, the PDF will be expected to take a leadership role in the Olson lab, seek external funding opportunities to support their research, mentor junior members of the lab, and communicate research findings through presentations at scientific conferences and publications in internationally recognized journals. The PDF will have dedicated desk and bench space, and access to infrastructure and financial resources to carry out the proposed research. The PDF will also be encouraged to seek professional development opportunities to benefit the PDF’s personal goals.


The following qualifications and skills are required:

  • PhD (held or to be awarded soon) in a relevant biomedical field (e.g. genetics, biochemistry, biology, immunology, etc.).

  • Experience with GM cancer models

  • Experience with at least some of: fluorescence microscopy, image analysis, immunohistochemistry

  • Ability to conduct independent research, data collection and analysis, and write technical reports, research grant proposals, and peer-reviewed journal articles

  • Excellent interpersonal and communication skills

  • Ability to work in a collaborative and multidisciplinary research group

  • A track record of peer-reviewed published research work

  • Background knowledge of signal transduction

  • Background knowledge of cancer

The following backgrounds would be considered as assets/highly desired:

  • Knowledge and experience in immunology research

  • Knowledge and experience in pre-clinical imaging and therapy

  • Knowledge and experience in data science/analysis

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