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Institute for Clinical Evaluative Sciences (ICES)

Verified Job Source

The Institute for Clinical Evaluative Sciences (ICES) is a research institute dedicated to analyzing healthcare data to improve patient outcomes and inform health policy decisions.

Toronto, Ontario

Civic and Social Organizations
11–50 people

Open positions

Technical Support Analyst

Hybrid · Toronto

The Technical Support Analyst provides first-level technical support and manages incident resolution via various communication channels. They are also responsible for endpoint asset management, identity and access management, and developing automation workflows to streamline IT operations.

Senior System Administrator

Hybrid · Toronto

The Senior System Administrator is responsible for building, maintaining, and supporting IT infrastructure, including High-Performance Computing (HPC) and Linux-based systems. They will perform operational activities such as server administration, patching, backup management, and collaborate on system architecture design and team mentorship.

Lead – HDRN Partnerships

Hybrid · Toronto

The Lead – HDRN Partnerships designs and manages a comprehensive program to develop and maintain external partnerships that support the mission and strategic goals of HDRN Canada. This role involves leading multidisciplinary teams, managing project lifecycles, and driving business opportunities through strategic collaboration and stakeholder engagement.

Information Management Analyst

Hybrid · Toronto

The Information Management Analyst is responsible for importing, cleaning, and maintaining large health services datasets within a SAS/Linux environment. They must also ensure data integrity, manage privacy compliance, and collaborate with research teams to support data-driven health policy.

Data Architect

Hybrid · Toronto

The Data Architect is responsible for developing and implementing enterprise data architecture strategies, including data modeling, governance, and security. They will collaborate with cross-functional teams to modernize data environments and support advanced analytics and AI initiatives.