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 professional 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 Robust 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.

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