Postdoctoral Researcher

Responsibilities

• 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
• PhD received within 5 years (or MD received within 10 years) in relevant field of study
• Published experience in scRNAseq data analysis
• Interest in human immunology and willingness to learn about hepatitis B infection
• Ability to work independently from home and onsite
• Ability to advise/mentor fellow lab members in bioinformatics analysis strategies
• Problem-solving initiative
• Attention to detail and strong organizational skills
• Good verbal and written communication skills
• Why join 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. At University Health Network (UHN), artificial intelligence technologies may be used to assist in the screening, assessment, and selection of candidates for this position.
• 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.

Benefits

Additional Information

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 9, 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.

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