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About the Role
The Senior Technical Lead will advance the department’s research, teaching, and administrative mission through strategic and client-focused IT services. This role acts as the senior research computing and enterprise IT lead, supporting advanced scientific computing and administrative digital transformation, including safe AI technologies. The successful candidate will provide technical leadership and specialized expertise in research computing infrastructure, systems and network administration, programming, automation, enterprise applications, and business systems analysis within a complex academic research environment.
Responsibilities
- Lead and plan IT projects, including developing project schedules, milestones, deliverables, and reporting mechanisms.
- Act as a technical lead, assessing and determining the feasibility of programming requests and system requirements.
- Analyze and document business requirements and translate them into technical designs that reflect operational needs.
- Develop, test, modify, and evaluate complex programming code to ensure validity, compatibility, security, and adherence to standards.
- Oversee the daily operation of network and server services, including troubleshooting complex system issues and implementing security measures.
- Execute and maintain security controls in alignment with University guidelines and departmental requirements.
- Develop and maintain administrative systems and automated workflows that support departmental operations.
- Build, configure, and maintain departmental websites and collaboration platforms.
- Lead all departmental cybersecurity initiatives including risk assessments, vulnerability mitigation, secure system design, identity and access management, incident response coordination, and alignment with University security standards.
- Support all research groups by serving as the department’s primary technical advisor and institutional IT liaison for research computing.
- Consult and partner with faculty and research teams to design and/or adopt scalable, secure, and reproducible computational research environments.
- Design and maintain research computing workflows and data processing pipelines, including scripting, containerization, deployment, monitoring, and performance optimization.
- Support departmental administrative operations through the analysis of business processes and the development of automated solutions, integrations, databases, and workflows.
- Administer the departmental network infrastructure across multiple buildings.
- Manage departmental SharePoint and web platforms.
- Support researchers with the configuration and administration of research computing systems and servers.
- Support the integration of computing into teaching and learning by providing guidance and technical expertise for computational approaches within courses.
Requirements
- Bachelor's Degree in Computer Science, Information Technology, or a related discipline or an acceptable combination of equivalent experience.
- Minimum five (5) years of relevant demonstratable experience gathering and translating business requirements into technical solutions, analyzing administrative processes, and designing integrations and workflows to improve operational efficiency, data management, and service delivery.
- Demonstrable advanced programming and scripting experience, including developing, testing, troubleshooting, and evaluating complex technical code and automation solutions.
- Demonstrable experience leading complex IT infrastructure, research computing environments, business systems analysis, enterprise applications, and client-facing technology services within a large and complex organization, preferably in a post-secondary or research-intensive environment.
- Demonstrated experience leading and planning IT projects, including developing schedules, coordinating deliverables, and supporting implementations.
- Experience designing and supporting scientific computing workflows using tools and technologies such as Python, R, MATLAB, Julia, Linux shell scripting, Jupyter notebooks, and container platforms (e.g., Docker, Singularity/Apptainer).
- Experience designing and supporting high-performance computing (HPC) environments, including compute clusters, GPU-enabled systems, job schedulers (e.g., Slurm), and parallel computing workflows supporting simulations, bioinformatics, machine learning, or large-scale data analysis.
- Experience managing research servers and virtualized environments hosting scientific applications, laboratory systems, databases, web services, and research computing workloads, including Linux/Windows administration, virtualization platforms, systems monitoring, and performance optimization.
- Experience administering research data storage infrastructure, including NAS environments, backup and archival systems, secure data transfer solutions, and storage optimization for large research datasets using platforms such as NetApp, TrueNAS, Veeam, or cloud-based storage technologies.
- Strong experience in systems and network administration, including assessing system security, risk, and integrity, and implementing security controls aligned with organizational policies and best practices.
- Strong technical experience developing and supporting administrative systems, databases, automations, and integrations using tools such as SQL, SharePoint, Microsoft Power Platform (Power Automate, Power Apps), APIs, and scripting languages.
- Demonstrated experience providing technical consultation, documentation, training, workshops, bootcamps, and end user support within research and academic computing environments.
- Demonstrated experience training end users and providing guidance on the effective use of supported systems and applications.
- Demonstrated experience liaising with faculty, staff, students, ITS, IIT Services, and external technical specialists to resolve issues and support service delivery.
- Accountable
- Adaptable
- Articulate
- Communicator
- Multi-tasker
- Organized
- Proactive
- Self-directed
Skills
- Python
- R
- MATLAB
- Julia
- Linux shell scripting
- Jupyter notebooks
- Docker
- Singularity/Apptainer
- Slurm
- SQL
- SharePoint
- Microsoft Power Platform (Power Automate, Power Apps)
- APIs
- NetApp
- TrueNAS
- Veeam
- Cloud-based storage technologies
- Linux administration
- Windows administration
- Virtualization platforms
- Systems monitoring
- Performance optimization
- Cybersecurity
- Risk assessment
- Vulnerability mitigation
- Secure system design
- Identity and access management
- Incident response
- Research computing
- Enterprise IT
- Business systems analysis
- Programming
- Automation
- Network administration
- Systems administration
- Web platforms
- Collaboration platforms
Location
- St. George (Downtown Toronto)
Work Type
- Full-Time
Experience Level
- Senior
- Minimum five (5) years of relevant demonstratable experience
Education Level
- Bachelor's Degree in Computer Science, Information Technology, or a related discipline or an acceptable combination of equivalent experience.
Salary/Compensations
- $103,367. with an annual step progression to a maximum of $132,188.
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 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.
- The Department of Cell & Systems Biology (CSB) promotes research and teaching in some of the most dynamic and vital areas of biological research.
- We facilitate the pursuit of cutting-edge research in the molecular life sciences and systems biology and embrace new methodologies and state-of-the-art technologies.
- Located in downtown Toronto and part of the University of Toronto, one of the world’s top research universities, our department is an ideal place to work, research and make a lasting impression in the field.
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.