Postdoctoral Researcher

Union: Non-Union
Number of Vacancies: 1
New or Replacement Position: New
Site: Princess Margaret Cancer Centre, MaRS Tower
Department: Princess Margaret Research Institute
Reports to: Principal Investigator
Hours: 37.5 Hours Per Week
Shifts: Monday to Friday
Salary: $60,000 - $70,000
Status: Temporary Full-time
Closing Date: February 20, 2026

Position Summary:
A computational postdoctoral researcher position is available in the laboratory of Dr. Gregory Schwartz to study cellular diversity in response to anti-cancer therapies. The Schwartz Lab is located within the heart of the Discovery District, at the intersection of the Princess Margaret Cancer Centre, the University of Toronto, and MaRS, the centre of a rich network of scientists and clinicians.

The Schwartz Lab studies the contribution of cellular heterogeneity to therapeutic response and cancer evolution. Towards this goal, the laboratory develops novel multi-omic and single-cell computational methods to improve cancer diagnosis and treatment through precision medicine. Notably, work from researchers in the laboratory include new methods for inferring cell-cell communication at the interface of tumour and stroma, integrating transcriptomics and proteomics data to identify novel biomarkers across cancer subtypes, and clustering and visualization algorithms for single-cell transcriptomics, epigenomics, and spatial multiomics. For more information on the types of tools we will develop, please visit https://schwartzlab.ca/.

This position is a temporary full-time postdoctoral appointment for an initial one-year term, with the possibility of renewal for additional years, subject to performance, funding availability, and program requirements.

Duties:

• Work with data from cutting-edge technologies (single-cell transcriptomics, single-cell epigenomics, spatial transcriptomics, spatial multiomics)
• Develop novel computational methods to identify cellular populations using multiomic integration
• Track cancer-cell evolution across treatments using deep-learning architectures
• Identify biomarkers associated with different anti-cancer treatments
• Determine tumor microenvironmental factors associated with disease progression and treatment resistance
• Disseminate research through national / international conferences and high-impact publications
• Develop reproducible pipelines for high-throughput data analysis
• Enhance writing skills by contributing to grant applications

• Awarded a PhD within the previous 5 years or graduating Ph.D. candidate with a degree in Computer Science, Mathematics, Bioinformatics, or Computational Biology, or related field.
• Proven track record of published method development
• Strong background in Linux and Python
• Strong background in statistics, machine learning, and/or deep learning
• Excellent writing and verbal communication skills
• Experience with version control, specifically Git and GitHub
• Experience with Next generation sequencing 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

Why join UHN?

In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN.

• Competitive offer packages
• Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP https://hoopp.com/)
• Close access to Transit and UHN shuttle service
• A flexible work environment
• Opportunities for development and promotions within a large organization
• Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.)

Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration.

All applications must be submitted before the posting close date.

UHN uses email to communicate with selected candidates.  Please ensure you check your email regularly.

Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application.

UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.