Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
LinkedIn followers
35
People associated on LinkedIn
38
Reported office locations
G1 06, 2075 BAYVIEW AVE, Toronto, Ontario M4N 3M5, ca
Other recorded names
ICES Central
Institute for Clinical Evaluative Sciences (ICES)
Profile identifies a recruitment agency
No
Industry
Civic and Social Organizations
Headquarters
Toronto, Ontario
ICES Central has 5 open jobs in Canada as of November 6, 2026. Top locations: Toronto.
8+ YOE5+ MgmtCandidates need a bachelor's degree, at least 8 years of Indigenous community or research experience, and at least 5 years of management experience. They must know Indigenous cultures and histories in Canada, Indigenous data sovereignty principles, and Ontario's health system.
Leadership, Performance management, Coaching, Project management, Strategic planning, Data analysis
5+ YOECandidates need a bachelor's degree in computer science or equivalent, 5 years of Linux administration and 3 years of HPC support. They also need Red Hat or Linux certifications, Azure and Windows Server experience, and strong troubleshooting and documentation skills.
RHEL, Red Hat Satellite, Red Hat Insights, Ansible Automation Platform, Slurm, GitLab
2+ YOECandidates need a college diploma in IT or equivalent, two years of Windows and Mac technical support and ITIL Foundation or similar. They also need hands-on experience with Active Directory, Intune, SCCM, M365, TCP/IP networking and PowerShell.
BMC TrackIT, Active Directory, Entra ID, Intune, SCCM, Citrix
7+ YOECandidates need a bachelor's degree in a health research field and at least 7 years of project management experience, ideally in health care or health services research. Strong communication, team leadership and experience working with health data partners and researchers are required.
6+ YOECandidates need a bachelor's degree in computer science or engineering and six years of experience designing big data solutions for analytics and AI. They also need strong database, SQL, data governance and ETL skills, plus relevant cloud or data architecture certifications.