Company Description
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Position Summary
Duties
- Develop AI and ML solutions -- Design and implement AI models and intelligent agent systems to optimize hospital operations and improve patient care. Apply AI methodologies to uncover novel insights and advance scientific exploration in healthcare.
- Process and analyze large datasets -- Clean, organize, and preprocess diverse data types, including genomic, imaging, tabular, and clinical notes, for AI-driven insights.
- Build and refine NLP models -- Develop natural language processing models to extract critical information from clinical and research data.
- Integrate agent-based systems -- Develop and deploy AI-driven agent systems to automate tasks, enhance decision-making, and support healthcare professionals.
- Collaborate with clinicians and researchers -- Work closely with healthcare providers to translate AI solutions, including agent-based approaches, into clinical practice.
- Perform quality assurance testing -- Ensure the accuracy, reliability, and performance of AI and agent systems through rigorous validation and testing.
- Support and maintain AI applications -- Provide ongoing technical support and iterative improvements for AI-powered healthcare solutions, including autonomous agent systems.
- Stay ahead of AI advancements -- Keep up with emerging trends in AI, ML, and agent-based modeling to continuously enhance the AI Hub's capabilities.
Qualifications
- Master's Degree required, PhD would be an asset, in machine learning, computer science, bioinformatics, statistics, applied mathematics or related disciplines.
- Minimum 6 years related experience required.
- Excellent communication skills and ability to utilize a collaborative approach to solving challenging problems.
- Experience with developing and implementing NLP models and agent systems.
- Experience with Python (scikit-learn, Pandas, etc.) and deep learning frameworks (TensorFlow or PyTorch).
- Experience with healthcare data types, topics, and scientific challenges and approaches.
- Familiarity with HPC environment and running applications in HPC clusters.
- Demonstrate ability to mentor others and work collaboratively with clinicians and researchers.
Why join UHN?
- Competitive offer packages
- Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP https://hoopp.com/)
- Close access to Transit and UHN shuttle service
- A flexible work environment
- Opportunities for development and promotions within a large organization
- Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.)
We thank all applicants for their interest, however, only those selected for further consideration will be contacted.
