Research Solutions & Technical Enablement Lead

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Research Solutions & Technical Enablement LeadCampus:
St. George (Downtown Toronto)
Description:
About us: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.We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local and global landscape and the need for curiosity, innovative thinking and collaboration. At Arts & Science, we take pride in our legacy of innovation and discovery that has changed the way we think about the world.Your opportunity: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. The mission of the DSI is to provide the leadership and capacity to catalyze the transformative nature of data sciences across disciplines, in fair and ethical ways, leveraging and strengthening U of T’s preeminence in data sciences. 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.Under the general direction of the Executive Director, DSI, the Research Solutions & Technical Enablement Lead will develop technical application implementation plans and determine key performance indicators to measure success. They will be the technical lead of the DSI and build and strengthen relationships with external stakeholders and partners.The Research Solutions and Technical Enablement Lead will lead the development and execution of DSI training programs. The training programs are delivered across numerous platforms, including microcredential programs and targeted hands-on workshops and provide skills and training to a diverse participant landscape.
Your responsibilities will include:
Developing and overseeing research-enabling software, platforms, tools, and computational resources to support complex data-intensive projects.
Designing, testing, and modifying programming code
Assessing and determining feasibility of research operational requirements and translating them into technical solutions and workflows.
Building and strengthening relationships with stakeholders and partners of strategic importance, serving as a trusted advisor on technical and research enablement projects.
Leading technical workshops, training and professional development seminars
Researching and drafting materials for training content
Keeping well-informed on current technologies, best practices and industry standards
Directing the activities of a group of staff-appointed employees all performing a similar function, fostering a collaborative, inclusive, and high-performing team environment.
Essential Qualifications:
Bachelor's Degreein Computer Science or Computer Engineering with specialization in AI, Machine Learning or acceptable combination of equivalent experience. A Master's Degree would be considered an asset.
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
Strong programming skills in R and Python
Superior organizational and time management skills;
ability to 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)
To be successful in this role you will be:
Meticulous
Motivated self-learner
Organized
Team player
Closing Date:
11/13/2026, 11:59PM ETEmployee Group:
USWAppointment Type : Budget - ContinuingSchedule:
Full-TimePay Scale Group & Hiring Zone:USW Pay Band 18 -- $121,209 with an annual step progression to a maximum of $155,005. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.Job Category:
Information Technology (IT)Divisional HR Office Email:
View email address on ca.hrm.tc
Lived Experience StatementCandidates 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.
Job descriptions are available upon request for internal applicants.
Diversity Statement
The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples,Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities.We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening our academic mission.As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see .
Accessibility Statement
The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we stride to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.If you require any accommodations at any point during the application and hiring process, please contact View email address on ca.hrm.tc .
The University of Toronto has implemented a process to substantiate Indigenous Membership/Citizenship/Enrolment for candidates who identify as Indigenous. For more information about this process, please refer to the Indigenous Substantiation Website .
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