University Health NetworkVerified Job Source

Bioinformatics Specialist

Toronto, ON
Hybrid
Posted Oct 4, 2026
1 position

$46–$69 / hour

Opens an external site

Employment type: Full-time, Temporary
Experience level: Senior · 5+ years
Minimum education: Master’s degree
Apply by: Oct 17, 2026
Posting language: English
Working hours: 38 hours per week

Job summary

The Bioinformatics Specialist will lead HPC-based automation and optimize analysis pipelines for spatial transcriptomics and single-cell data. They will also collaborate with research teams to process clinical and preclinical datasets while mentoring staff on computational techniques.

Job details

Company Description UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto. UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality. www.uhn.ca Job Description Union: Non-union Number of vacancies: 1 New or Replacement Position: New Site: Toronto Western Hospital Department: Research Reports to: Manager Salary Range: $45.74 - $68.62 per hour Hours: 37.5 hours per week Status: Temporary Full-Time Closing Date: October 16, 2026 Position Summary We are hiring a Bioinformatics Specialist to expand spatial transcriptomics capabilities across three labs working in the fields of arthritis, neuroscience and eye research. With a focus on Visium HD and Xenium data, you will work with multiple research groups to process and analyse datasets from a range of clinical samples and preclinical disease models. You will play a key role in developing and advancing cell-segmentation and analysis pipelines, leading high-performance computing (HPC) initiatives to increase throughput and efficiency, and supporting the growing genomics research needs across the three research groups. Duties Lead HPC-based automation and streamlining of single-cell and spatial transcriptomics workflows, including Visium HD, Xenium, and scATAC-seq Develop and optimize cell-segmentation and downstream analysis pipelines for clinical and preclinical samples Mentor and collaborate with research team members on analysis projects to build their computational skills Communicate results and coordinate with internal and external collaborators, including experimentalists, biostatisticians, ML scientists, and other bioinformaticians Conduct regular reviews of relevant literature/methods Participate in departmental, institutional or international seminars Perform other duties consistent with the scope of the position Qualifications Minimum of a Master’s degree in Cell/Molecular Biology, Genetics, Biochemistry, or a related discipline, with a minimum of 5 years of relevant post-graduate experience Minimum 2 years of experience in single-cell and spatial transcriptomics data processing and analysis Hands-on experience with Visium HD data required Proficiency in R and Python for NGS data analysis Exceptional organizational skills and attention to detail Ability to work independently and contribute effectively to team-based projects Strong written and verbal communication skills Prior experience contributing to manuscripts, reports, or grant-related experimental summaries an asset Additional Information 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. 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. Department: Research Compensation: CAD 45.74 - CAD 68.62 - hourly

What you’ll do

Requirements

Candidates must hold a Master's degree in a relevant biological discipline and possess at least 5 years of post-graduate experience. Proficiency in R, Python, and hands-on experience with Visium HD data are strictly required.