Bioinformatics Analyst

Institution/Company:
Princess Margaret Cancer Centre
Location:
Toronto, ON, Canada
Job Type:
  • Staff
Degree Level Required:
Bachelor's, Masters
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Bioinformatics Analyst

The Kumar Lab at the Princess Margaret Cancer Centre and The University of Toronto is looking for an enthusiastic and highly motivated Bioinformatics Analyst. This position is ideal for recent graduates and computational scientists seeking opportunities to work in the area of cancer genomics. Our research interests include developing and applying novel computational frameworks that leverage large-scale multi-omics and biomolecular structural data to identify clinically actionable cancer biomarkers and study tumor evolution. Bioinformatics analysts will work closely with graduate students, post-doctoral associates, clinicians, and experimental collaborators to develop new integrative methods and software to identify clinically actionable cancer biomarkers.

Responsibilities:

Responsibilities: • Analyze large-scale biomolecular and sequencing data from major internal and external resources • Develop novel statistical and machine learning-based methods and tools • Collaborate with members in the lab and beyond to analyze and interpret biomolecular data, including sequencing, functional genomics, clinical, and biomolecular simulation data • Contribute to the development and testing of data science workflows and implementations in high-performance and cloud computing environments • Contribute toward maintenance of lab code base and software packages • Document and present results in written and oral reports to other lab members

Qualifications:

Qualifications: • At a minimum, a bachelor’s degree in bioinformatics, computer science, or statistics/data science • Minimum one (1) year of practical and related experience • Proficiency in programming (e.g. R, Python, BASH, PyTorch/TensorFlow) • Experience working in a Unix-based environment • Prior experience in next-generation sequence data analysis and other biological data analysis are preferred • Team-oriented with excellent written and verbal communication skills • Experience with the application of machine learning/deep learning methods for biological data is preferred • Prior experience in working in HPC and cloud computing environments is preferred • Knowledge of scientific workflow development (e.g., Snakemake, Nextflow, CWL, etc.) and experience with the use of containers (e.g., Docker, Singularity, etc.) is preferred

Additional Information

The University Health Network, where “above all else the needs of patients come first”, encompasses Princess Margaret Cancer Centre, Toronto General Hospital, Toronto Western Hospital, Toronto Rehabilitation Institute, and the Michener Institute of Education at UHN. The breadth of research, the complexity of the cases treated, and the magnitude of its educational enterprise has made UHN a national and international resource for patient care, research and education. With a long tradition of groundbreaking firsts and a purpose of “Transforming lives and communities through excellence in care, discovery and learning”, the University Health Network (UHN), Canada’s largest research teaching hospital, brings together over 16,000 employees, more than 1,200 physicians, 8,000+ students, and many volunteers. UHN is a caring, creative place where amazing people are amazing the world.

University Health Network (UHN) is a research hospital affiliated with the University of Toronto and a member of the Toronto Academic Health Science Network. The scope of research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. Research across UHN’s five research institutes spans the full spectrum of diseases and disciplines, including cancer, cardiovascular sciences, transplantation, neural and sensory sciences, musculoskeletal health, rehabilitation sciences, and community and population health. Find out about our purpose, values and principles here.

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