Lead research solutions and technical enablement at the University of Toronto, applying Python, R, and advanced computing expertise in Downtown Toronto.
As the Data Sciences Institute’s technical lead, you will develop implementation plans, technical solutions, and workflows for complex data-intensive research. You will also lead training programs across microcredentials, hands-on workshops, and professional development seminars. The position combines software development, stakeholder advising, and staff supervision within a post-secondary research institution.
Key Responsibilities: Oversee research-enabling software, platforms, tools, and computational resources
Design, test, and modify programming code
Translate research requirements into technical solutions and workflows




Advise strategic stakeholders on research enablement projects
Lead workshops, training, and career development seminars
Requirements: Bachelor’s degree in Computer Science or Computer Engineering
Eight years’ experience with advanced computing applications
Experience designing highly complex scientific software
Strong programming skills in R and Python
Experience supervising staff and managing IT projects
Apply advanced computing, programming, training, and relationship-building expertise to strengthen data-intensive research at the University of Toronto.

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📌 Research Solutions Technical Lead (Ontario)
🏢 University of Toronto
📍 Ontario