Machine Learning Specialist
Machine Learning Specialist
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Job Description
Union: NonUnion
Site: Toronto General Hospital
Department: Peter Munk Cardiac Centre AI Team
Reports to: Chief AI Scientist
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 worlds leading cardiac centers and help shape the future of AI in healthcare.
Impact
In this role youll 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 Canadas 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 cuttingedge 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 stateoftheart foundation models with a strong emphasis on Natural Language Processing (NLP) applications that revolutionize clinical workflows.
- Lead the endtoend ML lifecycle alongside AI scientists from concept through to production deployment including ongoing monitoring and evaluation to ensure highimpact outcomes.
- Collaborate closely with clinicians and researchers translating complex clinical requirements into impactful technical AI solutions that address realworld 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 realworld 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
- 24 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 largescale healthcare datasets particularly EMR systems and clinical text
- Expertise in developing and deploying productiongrade 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 nontechnical audiences
- Excellent problemsolving abilities and attention to detail
- Commitment to staying current with advances in ML/AI technology and healthcare application
Qualifications :
- Bachelors or Masters in Computer Science Engineering Mathematics with specialties in Machine Learning HumanComputer Interaction
- Graduate level experience is preferred
- 24 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
Additional Information :
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:
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 )
- 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 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.
All UHN Employees are required to be fully vaccinated with a COVID19 vaccine series approved by Health Canada or the World Health Organization as a condition of hire. Proof of COVID19 vaccination will be required. Should you be the successful candidate you will be required to comply with UHNs 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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
