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About the Role
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.
Responsibilities
- 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
Requirements
- 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
Skills
- Visium HD
- Xenium
- scATAC-seq
- R
- Python
- NGS data analysis
- Cell-segmentation
- Analysis pipelines
Location
- Toronto Western Hospital
Work Type
- Temporary Full-Time
Experience Level
- Minimum of 5 years of relevant post-graduate experience
- Minimum 2 years of experience in single-cell and spatial transcriptomics data processing and analysis
Education Level
- Master’s degree in Cell/Molecular Biology, Genetics, Biochemistry, or a related discipline
Salary/Compensations
- CAD 45.74 - CAD 68.62 per hour
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.)
About the Company
- 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.
Equal Opportunity
- 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.