Data Science Professional

2 weeks ago

Toronto, Ontario, Canada University Health Network Full time

Job 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 the University Health Network. 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 Electronic Medical Record (EMR) data.

Key Responsibilities

  • 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.

Requirements

  • 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.

Why Join Us

The University Health Network is a leading healthcare organization that values innovation, collaboration, and excellence. As a member of our team, you will have the opportunity to work with a talented group of professionals who are passionate about improving healthcare outcomes. We offer a comprehensive benefits package, opportunities for professional development, and a dynamic work environment that fosters creativity and innovation.

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