Senior Data Scientist

2 months ago


Toronto, Ontario, Canada University Health Network Full time

Job Summary

The University Health Network is seeking a highly skilled Machine Learning Engineer to join our Peter Munk Cardiac Centre AI Team. As a key member of our team, you will collaborate with care providers, researchers, and students to develop and implement safe and responsible AI applications aimed at advancing healthcare.

Key Responsibilities

  • Develop and apply advanced AI/ML techniques to complex research problems in genomics and precision medicine.
  • Architect, develop, optimize, and manage the deployment of AI functionalities across multiple projects.
  • Clearly interpret and communicate technical results and methods; engage effectively across various teams.
  • Provide technical expertise for program management and support business development activities, including grant proposal writing.
  • Research and implement cutting-edge AI algorithms and tools.
  • Design and execute ML applications tailored to specific requirements.
  • Select suitable datasets and data representation methods for genomic analysis.
  • Conduct ML tests and experiments, including evaluation in post-production scenarios.
  • Maintain and enhance ML libraries and frameworks.
  • Stay updated with the latest trends in ML and AI; lead knowledge sharing within the community.
  • Mentor and develop junior staff and support training initiatives for UHN staff interested in ML applications.
  • Foster open, collaborative relationships between PMCC AI and the UHN AI Hub.
  • Demonstrate self-motivation, set high performance standards, and drive results.
  • Lead and supervise team members as required.

Requirements

  • Master's Degree required; PhD advantageous, in Machine Learning, Computational Biology, Bioinformatics, Statistics, Applied Mathematics, or a related field.
  • Minimum of 5 years of relevant experience.
  • Strong communication skills and a collaborative approach to solving complex problems.
  • Proficiency in Python (, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch).
  • Experience with genomic data management and analysis in healthcare settings.
  • Demonstrated ability to mentor and collaborate with clinical professionals.

Why Work with Us

The University Health Network offers a comprehensive benefits package, opportunities for professional growth and development, and a collaborative work environment. As a member of our team, you will have the opportunity to work with a talented group of professionals who are passionate about advancing healthcare through AI and machine learning.


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