Postdoctoral Research Fellowship: Princess Margaret Cancer Centre-Schwartz Lab

150 150 Office of Research Trainees

The University Health Network, where “above all else the needs of patients come first”encompasses Toronto Rehabilitation Institute, Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre and the Michener Institute of Education at UHN. The breadth of research, the complexity of the cases treated, and the magnitude of its educational enterprise has made UHN a national and international resource for patient care, research and education. With a long tradition of groundbreaking firsts and a purpose of “Transforming lives and communities through excellence in care, discovery and learning”, the University Health Network (UHN), Canada’s largest research teaching hospital, brings together over 16,000 employees, more than 1,200 physicians, 8,000+ students, and many volunteers. UHN is a caring, creative place where amazing people are amazing the world.

University Health Network (UHN) is a research hospital affiliated with the University of Toronto and a member of the Toronto Academic Health Science Network. The scope of research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. Research across UHN’s five research institutes spans the full spectrum of diseases and disciplines, including cancer, cardiovascular sciences, transplantation, neural and sensory sciences, musculoskeletal health, rehabilitation sciences, and community and population health. Find out about our purpose, values and principles here.

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


  • 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

Vaccines (COVID-19 and others) are a requirement of the job unless you have an exemption on a medical ground pursuant to the Ontario Human Rights Code

If you are interested in making your contribution at UHN, please apply on-line. You will be asked to copy and paste as well as attach your resume and covering letter. You will also be required to complete some initial screening questions.

CLOSING DATE: Until filled

More information and apply here.