University Health Network is hiring a Postdoctoral Researcher

Union: Non-Union New or Replacement: New Number of Vacancies: 1 Site: PMCRT - MaRS Department: TGH Research Reports to: Senior Scientist Hours: 37.5 hours per week Salary: $54,902- $71,372 per annually Shifts: Day Status: Temporary Full-time (approximately 12 months) Closing Date: July 27, 2026 Position Summary More than 250 million people are chronically infected with Hepatitis B virus (HBV) with no effective cure. My lab is part of the Toronto Centre for Liver Disease, one of the largest liver clinics in North America, with an active clinical trial research program testing novel hepatitis B therapies in Phase 1- 3 clinical trials. New studies are incorporating longitudinal liver sampling with single-cell RNA sequencing (scRNAseq) to better understand the intrahepatic immune response to novel treatments in the context of viral control and liver inflammation. We are looking for a bioinformatician with demonstrated experience single-cell RNA sequencing analysis and an interest in incorporating new artificial intelligence tools into the analysis pipeline. The anticipation is that this qualified person will be able to work with large scRNAseq datasets with cell numbers >3,000,000 cells and be able to code in relevant languages to incorporate the latest analysis tools. This is an opportunity to work with state-of-the-art data in the context of novel drugs in early-stage clinical trials. The position will involve industry collaboration with the expectation of academic publication. There will also be internal opportunities for collaboration in our basic research projects focused HBV pathogenesis using similar samples. Duties The successful applicant will be expected To use/develop pipelines for large, single-cell dataset alignment and quality control. To cluster and annotate immune cell populations To use advanced analysis tools beyond basic differential gene expression and pathway analysis Integrate clinical and transcriptomic data for analysis using machine learning and novel artificial intelligence models. To effectively visualize and communicate single-cell analysis outputs to bench scientists Mentor graduate students in bioinformatics analysis Organize and maintain datasets on the storage archive To use the UHN high-performance computing cluster