Postdoctoral Fellowship in Computational Cancer Biology
- Institution/Company:
- Princess Margaret Cancer Centre
- Location:
- Toronto, ON, Canada
- Job Type:
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- Postdoctoral
- Degree Level Required:
- PhD
- Apply Now
Postdoctoral Fellowship in Computational Cancer Biology
We have an interest in B-cell lymphomas and are focusing on scenarios that are associated with poor outcome such as early progression after treatment, transformation to aggressive lymphoma and relapse in the central nervous system. We are applying cutting-edge tools to primary patient samples to unravel tumour heterogeneity and to develop novel, innovative biomarkers to predict outcome in lymphoma. Furthermore, we are leveraging novel findings from discovery platforms to elucidate mechanisms of lymphoma pathogenesis and treatment resistance. Our ultimate goal is to improve patient outcomes through a better understanding of the diversity of responses to treatment and by tailoring therapy to each individual patient. See our lab website for further information: https://kridel-lab.ca/.
Responsibilities:
With the increasing realization that immune and stromal processes are fundamental to oncogenesis and outcomes following therapy, an increasing need has arisen to characterize the microenvironment contexture of primary patient samples. The research will focus on delineation of immune signatures across multiple follicular lymphoma RNAseq and microarray datasets that we have assembled (n>500 samples). Single nuclei RNAseq data are available to allow for identification and interpretation of the cellular basis underlying defined immune signatures. Highly motivated individuals with a desire to make an impact in the field of cancer genomics are encouraged to apply.
Qualifications:
The PDF should hold a PhD degree in bioinformatics, computer science, statistics or molecular biology and possess exceptional computational skills. Excellent communication skills are required, as is the willingness to work in a team environment.
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How to Apply
Submit a CV, a copy of your most relevant paper, and the names, email addresses, and phone numbers of three references to robert.kridel@uhn.ca. The subject line of your email should start with “POSTDOC COMPBIO – RKLAB”. All documents should be provided in PDF.