Data Science Specialist

Union: NonUnion
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: $86600.00 to $108245.00 annually (to commensurate with experience and consistent with UHN compensation policy)
Shifts: Monday to Friday
Status: Temporary FullTime 1 year)
Closing Date: May 6 2025

Position Summary:
Join UHNs AI Hub as a Data Science Specialist and be at the forefront of AIdriven healthcare innovation! In this dynamic role youll collaborate with toptier clinicians researchers and experts to develop cuttingedge 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 multimodal data youll play a key role in shaping the future of AI in healthcare. If youre passionate about pushing boundaries and driving realworld 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 AIdriven insights.
• Build and refine NLP models Develop natural language processing models to extract critical information from clinical and research data.
• Integrate agentbased systems Develop and deploy AIdriven agent systems to automate tasks enhance decisionmaking and support healthcare professionals.
• Collaborate with clinicians and researchers Work closely with healthcare providers to translate AI solutions including agentbased 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 AIpowered healthcare solutions including autonomous agent systems.
• Stay ahead of AI advancements Keep up with emerging trends in AI ML and agentbased modeling to continuously enhance the AI Hubs capabilities.

Qualifications :

• Masters 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 (scikitlearn 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 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 onsite gyms etc.

Current UHN employees must have successfully completed their probationary period have a good employee record along with satisfactory attendance in accordance with UHNs 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.

Remote Work :

No

Employment Type :

Fulltime