Research Technical Assistant – AI, Multimodal Foundation Models

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $22 - $28 / hour

⏱ Part Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

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University Health Network

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

University Health Network (UHN) is Canada's largest research hospital, which includes Toronto General and Toronto Western Hospitals, Princess Margaret Cancer Centre, the Toronto Rehabilitation Institute and the Michener Institute for Education at UHN. The scope of research and complexity of cases at UHN has made it a national and international source for research, education and patient care.

📋 Description

• Assist in developing and evaluating foundation models and multimodal AI methods for biomedical and healthcare applications • Contribute to the design and implementation of single- and multi-agent AI workflows for reasoning, information integration, and decision support • Work with multimodal biomedical and clinical data, including genomics, electronic health records, clinical text, molecular data, and structured and unstructured health data • Assist with integrating longitudinal clinical and genomic information into unified AI representations • Develop, test, and optimize machine-learning and deep-learning methods using Python, PyTorch, and related frameworks • Participate in data preprocessing, representation learning, model training, benchmarking, and evaluation • Contribute to research on foundation-model adaptation, agent memory, reasoning, and multimodal learning for healthcare • Conduct literature reviews and remain current with developments in foundation models, large language models, multimodal AI, and autonomous or multi-agent AI systems • Assist with research experiments, results analysis, figure preparation, and interpretation of model performance • Contribute to manuscripts, conference submissions, presentations, technical reports, and open-source research software • Follow software-engineering and reproducible-research best practices, including version control, documentation, experiment tracking, and reproducible computational workflows • Collaborate with AI researchers, scientists, clinicians, and domain experts on interdisciplinary biomedical research projects • Participate in research meetings, project discussions, and regular progress reviews

🎯 Requirements

• Currently enrolled in an undergraduate, master's, or doctoral program in Computer Science, Biomedical Engineering, Computational Biology, Bioinformatics, Data Science, Artificial Intelligence, Statistics, Applied Mathematics, or a related quantitative discipline • Strong programming skills in Python and experience with scientific computing or machine-learning workflows • Experience with deep learning frameworks such as PyTorch • Solid understanding of machine-learning and deep-learning fundamentals • Familiarity with foundation models, large language models, multimodal AI, or agentic AI frameworks such as LangChain or LangGraph is an asset • Interest in applying AI methods to biomedical, genomic, and clinical data • Ability to work independently and collaboratively in an interdisciplinary research environment • Ability to manage multiple tasks, learn new methods quickly, and contribute to a dynamic and translational research setting • Strong analytical, problem-solving, communication, and organizational skills • Familiarity with distributed training and high-performance computing environments such as SLURM will be an asset • Experience with Linux, Git, high-performance computing, cloud computing, or reproducible research workflows is an asset • A Criminal Record Check may be required of the successful candidate

🏖️ Benefits

• Government organization and member of the Healthcare of Ontario Pension Plan (HOOPP) • Close access to transit and UHN shuttle service • Flexible work environment • Opportunities for development and promotions within a large organization • Corporate discounts for travel, restaurants, parking, phone plans, and auto insurance • On-site gyms