Join University Health Network as a Machine Learning Engineer for EMR Data and NLP Initiatives

Company Description

The University Health Network (UHN) is where “the needs of patients come first.” Comprising Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, and the Michener Institute of Education, UHN stands as Canada’s largest research teaching hospital. With a workforce of over 16,000 employees, 1,200+ physicians, and 8,000+ students, UHN is committed to “Transforming lives and communities through excellence in care, discovery and learning.”

Job Description

Union: Non-Union
Location: Toronto General Hospital
Department: Peter Munk Cardiac Centre
Reports to: Dr. Bo Wang
Work Model: Hybrid
Grade: H0:11
Hours: 37.5 hours per week
Salary: $112,569.60 - $140,712.00 annually
Status: Temporary Full Time (12 months)
Closing Date: August 1, 2024

Position Summary

We are seeking a highly skilled Machine Learning Engineer with a primary focus on Natural Language Processing (NLP) to join the Peter Munk Cardiac Centre AI Team at UHN. This role is pivotal for leveraging AI to improve healthcare delivery network-wide by focusing on NLP projects using EMR data. The successful candidate will collaborate with care providers, researchers, and technical teams to create and deploy AI-driven solutions that enhance clinical decision-making and operational efficiencies.

Key Responsibilities

• Develop and implement cutting-edge NLP techniques to analyze and interpret complex EMR data.
• Lead the architecture, development, and optimization of NLP functionalities for multiple hospital departments.
• Drive the adoption of foundation models in healthcare, customizing them for specific clinical and administrative needs.
• Design, build, test, and validate robust ML models for real-world clinical settings.
• Oversee the deployment of AI solutions in live clinical environments from concept to implementation.
• Act as the key technical lead, ensuring effective communication and collaboration between clinicians, IT staff, and researchers.
• Contribute to grant writing and funding acquisition for NLP-based projects.
• Mentor and provide technical guidance to junior ML specialists and interns.
• Stay updated on emerging AI trends, particularly in NLP and foundation models, and share insights with the team.
• Manage multiple concurrent projects, effectively coordinating timelines and deliverables.

Qualifications

• Master’s Degree required; PhD preferred in Machine Learning, Computer Science, Computational Linguistics, or related fields.
• Minimum of 5 years of extensive experience in NLP with a strong emphasis on applying ML in healthcare.
• Proficient in Python and NLP frameworks (e.g., Hugging Face, spaCy, NLTK).
• Experience with foundation models and their real-world applications.
• Strong analytical skills with a proven record in implementing and validating ML models.
• Excellent communication skills and the ability to work collaboratively in a multidisciplinary team environment.
• Familiarity with EMR data complexities and healthcare data privacy regulations.

Additional Information

Why Join 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 (corporate discounts including travel, restaurants, parking, phone plans, auto insurance, on-site gyms, etc.).

Current UHN employees must have successfully completed their probationary period, have a good employee record, and satisfactory attendance according to UHN's attendance management program