Postdoctoral Fellow

Institution/Company:
University Health Network
Location:
Toronto, ON, Canada
Job Type:
  • Postdoctoral
Degree Level Required:
PhD
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Postdoctoral Fellow

The Schwartz lab is interested in developing new methods and algorithms to understand the role of cellular heterogeneity in evolutionary responses to strong selection, such as the adaptive immune response and drug treatment in cancer. We are a new computational lab especially interested in the emergence of cells resistant to cancer treatment and how they interact with their microenvironment.

We are seeking a Postdoctoral Fellow for such projects as multi-omic integration and single-cell method development to improve diagnosis and treatment of cancer through precision medicine. By joining our lab, you will have the opportunity to work with and integrate data from cutting-edge technologies such as single-cell assays to create new tools to help scientists and clinicians understand, diagnose, and treat cancer. For more information on the types of tools we will develop, please visit https://gregoryschwartz.github.io/.

Responsibilities:

  • Designing and developing new methods in cancer heterogeneity
  • Analyze multi-omic data to identify biomarkers
  • Publishing tools and findings
  • Working with and mentoring trainees within the lab

Qualifications:

  • Ph.D. received within the last 5 years or graduating Ph.D. candidate with a degree in Computer Science, Bioinformatics, or Computational Biology, or related field.
  • Strong background in Linux and Python
  • Strong background in statistics and machine learning
  • Excellent writing and verbal communication skills
  • Experience with version control, specifically Git and GitHub
  • Experience with Next generation sequencing (NGS) data formats such as FASTQ, BAM, Matrix Market, and HDF5 is a plus
  • Experience with Haskell, R, and LaTeX is a plus
  • Willingness to work in a team environment as well as independently