Job Specifications
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: Princess Margaret Cancer Centre
Department: Princess Margaret Research Institute
Reports to: Principal Investigator
Salary Range: $68,932 - $86,165 Annually
Hours: 37.5 Hours Per Week
Shifts: Monday - Friday, Days
Status: Temporary Full-time
Closing Date: February 4, 2026
Position Summary
A Senior Bioinformatics Analyst position is available in Toronto, Canada, in the laboratories of Dr. Tomohiro Aoki and Dr. Robert Vanner at the Princess Margaret Cancer Centre, University Health Network; one of the top five cancer research centers in the world. The research focus is basic/translational research in cancer immunology and cancer genomic field in the lymphoid malignancy and clonal hematopoiesis. With access to our world-class computational infrastructure, and in collaboration with world-leading scientists locally and abroad, the successful candidate will help organize, plan, analyze, and interpret the results from a variety of exciting large genomic cohort analyses that are currently ongoing.
Duties
Design and execute experiments to study the pathogenesis, molecular mechanism and treatment resistance mechanism, and tumor-microenvironment interaction in lymphoid malignancy
Analyze and interpret molecular analyses from DNA/RNA sequencing data (including single cell sequencing, whole genome sequencing, circulation tumor DNA analyses, methylation profiling)
Analyze and interpret spatial analyses (e.g. protein level and transcriptional level)
Develop and oversee high-throughput data pipelines, including data from many new single-cell technologies such as scRNA-seq, scATAC-seq, scMultiome-seq, and Visium/CosMx spatial transcriptomics.
Analyze any sequencing data using established pipelines.
Develop new computational methods to integrate and interpret multi-omics data.
Assist and collaborate with internal and external researchers in interpretation of sequencing data.
Contribute to the codebase, development, and support of open-source software packages.
Help to manage lab servers and computational infrastructure.
Document and present results in written or oral reports to other lab members.
Work collaboratively with other research team members and external collaborators.
Participate in multidisciplinary projects combining biochemistry, structural biology, and computational methods
Stay updated with the latest research in cancer genomics, cancer immunology and lymphoma biology.
Review and summarize relevant scientific literature to inform experimental design and data interpretation
Prepare manuscripts for publication in scientific journals
Present research findings at national and international conferences, seminars, and workshops
Assist in writing grant proposals to secure funding for ongoing and future research projects.
Mentor and supervise graduate and undergraduate students involved in related research projects
Provide guidance on experimental techniques and data analysis
Qualifications
B.Sc., M.Sc. or Ph.D. in bioinformatics, computer science or recognized equivalent in Health and or Science-Related Discipline or a related field
Programming skills in R, Python, BASH, TensorFlow or similar.
Experience working in a Linux environment and the use of high-performance computing systems (i.e. Slurm) for analyzing large datasets
Adhering to best practices for software development (version control, GitHub)
Demonstrated exposure to NGS data analysis and datatypes (FASTQ, BAM, VCF, etc) including analysis of targeted, exome or genome sequencing data
Hands-on experience with cancer genomic analyses including WGS, RNA-seq, ATAC-seq, single cell RNA-seq, or similar, is preferred
Experience in cancer genomic study preferred
Team oriented with excellent written and verbal communication skills.
Training in statistics or machine learning preferred.
Ability to work effectively in a collaborative research envir
About the Company
University Health Network (UHN) is Canada's largest research hospital, which includes Toronto General and Toronto Western Hospitals, Princess Margaret Cancer Centre, the Toronto Rehabilitation Institute and the Michener Institute for Education at UHN. The scope of research and complexity of cases at UHN has made it a national and international source for research, education and patient care.
UHN is a research hospital affiliated with the University of Toronto, with major research in cardiology, transplantation, neuroscienc...
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