Data Science Specialist

Company Description

UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto.

UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality.

www.uhn.ca

Job Description

Union: Non-Union
Site: Toronto General Hospital (200 Elizabeth St, Toronto, ON M5G 2C4)
Department: AI Collaborative Centre
Reports to: Chief AI Scientist
Work Model: Hybrid (3 days on site)
Hours: 37.5 Hours Per Week
Salary: $86,600.00 to $108,245.00 annually (to commensurate with experience and consistent with UHN compensation policy)
Shifts: Monday to Friday
Status: Temporary Full-Time (1 year)
Closing Date: May 6, 2025

Position Summary:
Join UHN’s AI Hub as a Data Science Specialist and be at the forefront of AI-driven healthcare innovation! In this dynamic role, you'll collaborate with top-tier clinicians, researchers, and experts to develop cutting-edge AI and machine learning solutions that transform hospital efficiency, research, and patient care. From working with complex datasets, building agent systems to building powerful NLP models and interpreting multi-modal data, you'll play a key role in shaping the future of AI in healthcare. If you're passionate about pushing boundaries and driving real-world impact, this is your chance to make a difference.

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.

Additional Information

Why join UHN?

In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at 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.)

Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration.

All applications must be submitted before the posting close date.

UHN uses email to communicate with selected candidates.  Please ensure you check your email regularly.

Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application.

UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.