Postdoctoral Researcher

University Health Network • Toronto, ON

3d • CA$54,902 - CA$93,333 • Onsite

About The Position

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.

Requirements

• Awarded a PhD within the previous 5 years, 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
• Willingness to work in a team environment as well as independently

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• Competitive offer packages
• Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP)
• 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.)

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: Ph.D. or professional degree