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About the Role
The Data Sciences Institute (DSI) is a specialized research initiative at the University of Toronto. The DSI's mission is to provide leadership and capacity to catalyze the transformative nature of data sciences across disciplines in fair and ethical ways. This role will serve as the technical lead of the DSI, developing technical application implementation plans, building stakeholder relationships, and leading the development and execution of DSI training programs.
Responsibilities
- Develop and oversee research-enabling software, platforms, tools, and computational resources to support complex data-intensive projects.
- Design, test, and modify programming code.
- Assess and determine the feasibility of research operational requirements and translate them into technical solutions and workflows.
- Build and strengthen relationships with stakeholders and partners of strategic importance, serving as a trusted advisor on technical and research enablement projects.
- Lead technical workshops, training, and professional development seminars.
- Research and draft materials for training content.
- Stay informed on current technologies, best practices, and industry standards.
- Direct the activities of a group of staff-appointed employees, fostering a collaborative, inclusive, and high-performing team environment.
Requirements
- Bachelor's Degree in Computer Science or Computer Engineering with specialization in AI, Machine Learning or acceptable combination of equivalent experience.
- Eight years or more experience with advanced computing applications and designing highly complex scientific software.
- Experience working in a post-secondary or research institution; familiarity with research funding opportunities and the drafting of research grant proposals.
- Experience researching and creating bespoke training programs and curriculum in Artificial Intelligence, Machine Learning, Data Science or other related technical fields.
- Experience facilitating technical training sessions.
- Experience designing, testing and modifying program code.
- Experience managing IT projects (Developing charter, scope, resources and schedule for projects).
- Experience supervising staff.
- Superior organizational and time management skills; ability to manage competing priorities and projects.
- Self-starter, with proven ability to stay up-to-date on current technologies, best practices and industry standards.
- Excellent verbal and written communication skills with the ability to communicate highly technical terms and concepts to people of non-IT backgrounds.
- Strong relationship building skills, ability to work with diverse stakeholders (academic institutions, industry, government partners).
Skills
- R programming
- Python programming
- AI
- Machine Learning
- Data Science
Location
- St. George (Downtown Toronto)
Work Type
- Full-Time
Experience Level
- Eight years or more experience with advanced computing applications and designing highly complex scientific software
- Experience managing IT projects
- Experience supervising staff
Education Level
- Bachelor's Degree in Computer Science or Computer Engineering with specialization in AI, Machine Learning or acceptable combination of equivalent experience.
- Master's Degree would be considered an asset.
Salary/Compensations
- $121,209 with an annual step progression to a maximum of $155,005.
About the Company
- The Faculty of Arts & Science is the heart of Canada’s leading university and one of the most comprehensive and diverse academic divisions in the world.
- The strength of Arts & Science derives from our combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs.
- The Data Sciences Institute (DSI) is a highly specialized research initiative at the University that draws on world-class research expertise across multiple academic divisions, affiliated hospitals, regional, national, and international academic partners, and commercial organizations.
- DSI supports and promotes the flow of methodological advancements such as data management, computing, data integration, visualization methods and facilitates the training of new generations of interdisciplinary trainees and upskilling of professionals.
- DSI aims to unify and galvanize the core strengths of Toronto’s data science community building capacity for data and computational-based projects and training by being the focal point for the coordination of data science activities and partnerships to further elevate UofT’s global stature.
Equal Opportunity
- Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.