Part-Time Technology Support Technician

2 weeks ago


Toronto ON, Canada University Health Network Full time

The University Health Network, where “above all else the needs of patients come first”, encompassesToronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute and the Michener Institute of Education. The breadth of research, the complexity of the cases treated, and the magnitude of its educationalenterprise has made UHN a national and international resource for patient care, research and education. With a long tradition of ground-breaking firsts and a purpose of “Transforming lives and communities through excellence in care, discovery and learning”, the University Health Network (UHN), Canada’s largest research teaching hospital, brings together over 16,000 employees, more than 1,200 physicians, 8,000+ students, and many volunteers. UHN is a caring, creative place where amazing people are amazing the world.
Site : Toronto General Hospital
Department : UHN Digital
Reports to : AI Hub Lead
Shifts: Monday to Friday
Temporary Full Time (1 year)
We are looking for aTechnical Specialistwith health careandDevOpsexperience to join ourUniversity Health Network (UHN)CollaborativeCentreforArtificial Intelligence(AI) and Data Scienceto work with the cancer program. The UHN AI Hub brings together scientistsand clinicians from across UHN workingtodevelop and implement safe and responsibleapplications of AI to improve healthcare.This role involvesworking in close collaboration with care providers,researchersand studentstobuilddeepexpertiseandsupport theMLOpsofadvance novel applications of artificial intelligence methodstofacilitateresearch and translation into clinicalpractice.
TheTechnicalSpecialistwilldesign and develop highly sophisticated MLpipelines,deploymentplatforms and methodologies to support high priority initiativeswithcutting edgeAI technology within the UHN network. TheTechnicalSpecialistworks closely with theChief AI Scientistand team toapplyMLOpsmethods to solve complex health related questions, improve hospital efficiency and develop new research hypotheses. Data Processing andPipelines :Creating and building robust data pipelines for AI.This involves preprocessing, cleaning, and organizing data fordata pipelinesand AI integration.
This could includecreatingnew data pipelines and integrating AI models into existing clinical systems and processes. Set up monitoring tools tomonitorAI performance andtrack various metrics such as response time,errorsand resourceutilization.
Collaborative Research : Work closely with biologists and clinicians to understand their data needs and translate these into computational tasks.
Grant Writing :Assistin writing grant proposals for funding research projects.
Guide junior researchers or students in their projects, providingexpertiseinoncologydata analysis.
Undergraduate degree,graduatewould be an asset,inengineering,computer science, or related disciplines.
Experience withMLOps,enterprise applicationdevelopment,implementingandmaintainingMLand NLPmodels, IT administration and support.
Experience with Python (scikit-learn, Pandas, etc.) Experience with healthcare data types, topics, and scientific challenges and approaches.
Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP
A flexible work environment
Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.)
All UHN Employees are required to be fully vaccinated with a COVID-19 vaccine series, approved by Health Canada or the World Health Organization, as a condition of hire. Proof of COVID-19 vaccination will be required. Should you be the successful candidate, you will be required to comply with UHN’s mandatory Vaccination Policy that is in effect.
Requests for accommodation can be made at any stage of the recruitment process.


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