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 resourcesDesign, test,



and modify programming codeTranslate research requirements into technical solutions and workflowsAdvise strategic stakeholders on research enablement projectsLead workshops, training, and career development seminarsRequirements:
Bachelor’s degree in Computer Science or Computer EngineeringEight years’ experience with advanced computing applicationsExperience designing highly complex scientific softwareStrong programming skills in R and PythonExperience supervising staff and managing IT projectsApply 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 (Winnipeg)
🏢 University of Toronto
📍 Winnipeg