Scientific Applications & AI Analyst

Date Posted: 04/23/2026
Req ID: 47594
Faculty/Division: VP - Research
Department: SciNet
Campus: St. George (Downtown Toronto)
Position Number: 00059302
Existing Vacancy: Yes

Description:

About us:

The Vice-President, Research & Innovation (VPRI) portfolio supports the University of Toronto as a top public research university in the world. Our mission is to create the most supportive environment possibleso that our researchers, innovators and learners can do what they do best - advance understanding and apply new knowledge. Our work supports, fosters and promotes the research and innovation culture and activities of our faculty, staff and students, along with our partner hospitals, funding sponsors, and partners in the public and private sector. VPRI provides a full range of services including guidance to faculty, staff and students on funding opportunities, research agreement negotiation, oversight andaccountability services including research accounting, environmental health and safety, innovation and entrepreneurship, partnerships, policies and procedures, and institutional awards and honours.

SciNet, within the division of VPRI, is a University of Toronto advanced research computing facility and support team that operates as part of a national platform providing high performance computing resources for academic researchers from all disciplines and regions of Canada.

Your opportunity:

SciNet is in the process of installing a new AI capability, with a large number of high performance GPUs, as part of the ISED Sovereign AI Compute initiative. The incumbent is expected to support the platform and assist users in AI applications research, and in AI-assisted research in general. Under general direction of the CTO, the Scientific Applications Analyst & AI Analyst provides senior IT services and training in GPU programming, data science applications, and scientific computing workflows for the SciNet advanced computing consortium. The incumbent supports users in designing, training, and validating machine learning models and deep learning algorithms; analyzing large datasets, perform data cleaning, transformation, and feature engineering to prepare data for model training; deploying AI solutions into production environments, ensure they integrate seamlessly with existing software applications and infrastructure and monitoring the performance of AI systems and make adjustments to improve efficiency, accuracy and scalability. Additionally, the incumbent will assist users (clients) in deployment of AI strategies for AI-assisted scientific research.

Your responsibilities will include:

• Analyzing, recommending, and designing highly complex software architecture
• Developing and updating architectural framework for highly complex and confidential university-wide applications
• Writing complex technical code
• Analyzing and making recommendations for programming enhancements
• Evaluating programming code to ensure it has validity, compatibility, and that it meets appropriate standards
• Providing formal job-related training
• Building and strengthening relationships with stakeholders and partners of strategic importance
• Acting as an expert resource to developers on architecture, technical standards and coding techniques

Essential Qualifications:

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or quantitative sciences; or acceptable combination of equivalent experience.
• Minimum eight years’ experience with advanced computing scientific applications or large-scale, data- driven scientific computations.
• Significant experience and understanding of scientific numerical codes, compilers, code optimization, file input/output strategies, and data management.
• Experience using data analysis and machine learning libraries.
• Excellent knowledge of computing hardware and networking.
• Solid knowledge of Fortran, C,C++ under Linux/Unix, and a scripting language like R and Python.
• Demonstrated abilityto program efficiently on serial, vector and parallel systems, with the ability analyze and improve software codes and interface well with researchers across all disciplines on their computing needs.
• Excellent verbal and written communication skills with the ability to communicate highly technical terms and concepts to people of non-IT background.

Assets (Nonessential):

• Visualization expertise and presentation/training skills an asset.

To be successful in this role you will be:

• Goal oriented
• Motivated self-learner
• Proactive
• Problem solver
• Self-directed

Closing Date: 05/07/2026, 11:59PM ET
Employee Group: USW 
Appointment Type: Grant - Term  This is a 2-year Term role, with the possibility of renewal.
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 18 -- $116,547. with an annual step progression to a maximum of $149,043. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol. 
Job Category: Information Technology (IT)
Recruiter: Anita Chooraman

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.

A job description is available upon request

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.

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 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 uoft.careers@utoronto.ca.

Job Segment: Scientific, Facilities, Data Analyst, Data Management, Environmental Health & Safety, Engineering, Operations, Healthcare, Data

Apply now »

• Accessibility
• Land Acknowledgment
• utoronto.ca