Staff Engineer, Machine Learning and Medical Image Analysis

Thursday 29th August 2024

Contact Email for the Job Posting Fatemeh.Zabihollahy@uhn.ca
Organization University Health Network, University of Toronto
Location Toronto, Canada
Title Staff Engineer, Machine Learning and Medical Image Analysis
URL NA
Closing date Oct 31, 2024
Description Organization: Laboratory of Medicine and Pathobiology, University Health Network
Location: Toronto, Canada
Title: Staff Engineer, Machine Learning and Medical Image Analysis
Closing date: Oct 31, 2024
Description
We seek an exceptionally talented software engineer to join our interdisciplinary team at the forefront of machine learning, computer vision, digital pathology, and image analysis. This position is hosted by Dr. George Yousef’s lab as part of the Laboratory of Medicine and Pathobiology (LMP) at the University Health Network (UHN). The software engineer will have the opportunity to directly collaborate with the PI and artificial intelligence (AI) research scientists for digital pathology projects.
Project Description
The successful candidate will have the opportunity to work on cutting-edge projects aimed at building large-scale foundation models for cancer diagnosis using pathology-related information through innovative AI technologies. We use several public and private datasets to evaluate the performance of the model.
Key Responsibilities
 Quickly prototype and evaluate advanced algorithms for analyzing whole-slide images
 Contribute high-quality software implementations that can be incorporated into clinical workflow
 Develop large-scale vision transformer (ViT)-based foundation models
 Draft technical documentation and reports
Qualification
 BA or MA in Machine Learning (ML)/AI, Computer Science, Electrical Engineering, or Biomedical Engineering
 Strong technical skills and track record of excellence with 4+ years of total experience in algorithm development for machine/deep learning and medical image analysis
 Mastery of the state-of-the-art deep learning models for the above areas and experience in model deployment in commercial products
 Proficiency in Python, as well as deep learning frameworks such as TensorFlow or PyTorch; experience with MONAI and C++
 Experience in a full cycle of product development is highly desirable
 Familiarity with ML infrastructure (hardware and software, running on multiple GPUs)
 Strong leadership in leading projects and collaboration skills
 Experience with data curation for machine learning
 Ability to work independently and collaboratively in an interdisciplinary team
 Excellent communication skills, both written and verbal
Benefits
 Competitive salary and benefits package.
 Access to state-of-the-art facilities and computational resources.
 Opportunities for professional development and collaboration with leading experts in the field.
 Working at UHN offers access to world-class research facilities and a vibrant intellectual community. UHN provides numerous opportunities for interdisciplinary collaboration, professional development, and cutting-edge innovation. Additionally, being part of UHN opens doors to a global network of leading experts and industry partners, enhancing career growth and research impact.
Apply For full consideration send your application including resume, cover letter, and name and contact information of three references to the following email address:
Fatemeh.Zabihollahy@uhn.ca