Machine Learning Specialist

The University Health Network, where "above all else the needs of patients come first", encompasses Toronto 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 educational enterprise 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.

Union: Non-Union
Site: Toronto General Hospital
Department: Peter Munk Cardiac Centre AI Team
Reports to: Senior Scientist I
Work Model: Hybrid
Grade: H0:09
Hours: 37.5 hours/weekly
Salary: $47.73 - $59.66 per hour: To commensurate with experience and consistent with UHN compensation policy
Shifts: Monday- Friday
Status: Temporary Full Time
Closing Date: As soon as possible

About the Role
Join the Peter Munk Cardiac Centre AI team and be at the forefront of developing and implementing groundbreaking AI solutions that transform healthcare. This role offers a unique opportunity to blend your technical expertise in machine learning with deep healthcare knowledge, creating solutions that drive meaningful improvements in patient care and optimize clinical operations. Make a tangible impact in one of the world's leading cardiac centers, and help shape the future of AI in healthcare.

Impact
In this role, you'll be at the forefront of shaping the future of AI in healthcare, working on transformative projects that directly enhance patient care, streamline clinical workflows, and elevate healthcare delivery at one of Canada's top cardiac centers. Your contributions will have a lasting impact on the way healthcare is practiced, helping to revolutionize patient outcomes and clinical efficiency.

Key Responsibilities

• Design and implement cutting-edge machine learning solutions using diverse healthcare data, including EMR systems, clinical notes, and structured medical data, to drive innovation in patient care.
• Develop and validate AI models leveraging state-of-the-art foundation models, with a strong emphasis on Natural Language Processing (NLP) applications that revolutionize clinical workflows.
• Lead the end-to-end ML lifecycle alongside AI scientists, from concept through to production deployment, including ongoing monitoring and evaluation to ensure high-impact outcomes.
• Collaborate closely with clinicians and researchers, translating complex clinical requirements into impactful, technical AI solutions that address real-world challenges.
• Spearhead projects that tackle both specific clinical questions and broader organizational initiatives, improving quality and efficiency across healthcare operations.
• Establish and champion best practices for ML deployment, ensuring your solutions are clinically relevant, scalable, and deliver real-world value.
• Conduct rigorous testing and validation of algorithms across both development and production environments, ensuring reliability, accuracy, and performance in critical healthcare settings.

Qualifications

• Bachelors or Masters in Computer Science, Engineering, Mathematics. Graduate level experience is preferred
• 2-4 years of working within the ML for Health Space
• A strong portfolio of work consisting of technical achievements and products developed
• A track record of developing clinically meaningful solutions

Technical Requirements

• Strong foundation in machine learning fundamentals and modern AI approaches
• Experience working with large-scale healthcare datasets, particularly EMR systems and clinical text
• Expertise in developing and deploying production-grade ML systems
• Proven track record in implementing NLP solutions using foundation models
• Understanding of ML monitoring, evaluation, and maintenance in production environments
• Knowledge of healthcare data standards and clinical workflows
• Experience with ML model optimization and performance tuning

Professional Skills

• Ability to collaborate effectively with clinical staff and translate technical concepts for non-technical audiences
• Excellent problem-solving abilities and attention to detail
• Commitment to staying current with advances in ML/AI technology and healthcare application

• Bachelors or Masters in Computer Science, Engineering, Mathematics, with specialties in Machine Learning, Human-Computer Interaction
• Graduate level experience is preferred
• 2-4 years of working within the ML for Health space
• A strong portfolio of work consisting of technical achievements and products developed
• A track record of developing clinically meaningful solutions

Application Information: We invite applications from candidates globally, reflecting our belief in diversity and inclusion as catalysts for innovation and excellence in research. We also take a holistic approach when reviewing candidates so if you do not meet all criteria but still believe you are a good fit, we recommend that you inquire and apply. Interested candidates are encouraged to submit a detailed academic CV, a cover letter outlining their research interests and achievements, and the contact information for three references. For any questions, please contact: senthujan.senkaiahliyan@uhn.ca

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.

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.

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.

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.