Machine Learning Engineer - EMR Data and NLP Initi...

Company Description

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.

Job Description

Union: Non-Union

Site: 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 experienced Machine Learning Engineer with a specialized focus on Natural Language Processing (NLP) to join the Peter Munk Cardiac Centre AI Team at UHN. This position will play a crucial role in leveraging AI to enhance healthcare delivery across our network by focusing on the implementation of NLP projects using EMR data. The successful candidate will work closely with care providers, researchers, and technical teams to develop and deploy AI-driven solutions that improve clinical decision-making and operational efficiencies.

Duties

• Develop and implement state-of-the-art NLP techniques to analyze and interpret complex EMR data.
• Lead the architecture, development, and optimization of NLP functionalities for integration into hospital systems across various departments.
• Drive the adoption and application of foundation models in healthcare settings, tailoring them to specific clinical and administrative needs.
• Design, build, test, and validate robust ML models to ensure their efficacy and accuracy in real-world clinical environments.
• Spearhead the deployment of AI solutions in live clinical settings, overseeing the full lifecycle from concept to implementation.
• Act as a key technical lead in interdisciplinary teams, ensuring clear communication and collaboration between clinicians, IT staff, and researchers.
• Contribute to grant writing and the acquisition of funding for NLP-based projects.
• Mentor and provide technical guidance to junior ML specialists and interns.
• Stay abreast of emerging trends in AI, particularly in NLP and foundation models, sharing insights and best practices with the team.
• Work on multiple concurrent projects, effectively managing timelines and deliverables while fostering cross-functional collaboration.
  
  
  

Qualifications

• Master’s Degree required; PhD preferred in a field relevant to Machine Learning, Computer Science, Computational Linguistics, or related disciplines.
• 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).
• Demonstrated experience with foundation models and their applications in real-world settings.
• Strong analytical skills with a proven track record of implementing and validating ML models.
• Excellent communication skills and a proven ability to work collaboratively in a multidisciplinary team environment.
• Experience with the complexities of EMR data and the regulatory landscape of healthcare data privacy.
  
  
  

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.

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.