Research Solutions & Technical Enablement Lead

The University of Toronto – Faculty of Arts & Science

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 Degree in 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 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:

• Communicator
• Entrepreneurial
• Meticulous
• Motivated self-learner
• Organized
• Problem solver
• Team player

Closing Date:

Closing Date: 11/13/2026, 11:59PM ET

Employee Group:

Employee Group: USW

Appointment Type:

Appointment Type: Budget - Continuing

Schedule:

Schedule: Full-Time

Pay Scale:

Pay 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:

Job Category: Information Technology (IT)

Lived

Experience

Statement:

• 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.

Diversity & Accessibility:

• Diversity Statement

• The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

• Accessibility and accommodations

• 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 strive 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 the careers team.

• Indigenous Substantiation Process

• 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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