Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis

The School of Biomedical Engineering at the University of British Columbia is seeking a postdoctoral fellow to work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. The successful candidate will develop deep learning models for analyzing whole-slide histopathology images and natural language processing methods for clinical records.

Requirements

• Ph.D in computer science, bioinformatics, biomedical engineering, electrical engineering or similar, obtained within the last 5 years by the time of the appointment start date.
• Outstanding publication record in top journals and conferences.
• Proven experience in design and implementation of deep learning algorithms.
• Outstanding programming skills in Python.
• Extensive experience working on one or more of the following areas: image processing, machine learning, and patient records.
• Track record of development and implementation of novel machine learning algorithms in the healthcare setting or other spaces.
• Extensive experience in utilizing machine learning libraries such as PyTorch, TensorFlow, and Scikit-learn.
• At least 2 years of experience working with Linux computing clusters.
• Ability to work independently and within a team environment.
• Effective oral and written communication, analytical, and interpersonal skills.
• Willingness to respect diverse perspectives, including perspectives in conflict with one’s own.
• Demonstrates a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Health Benefits