Machine learning for medical imaging and bioinformatics
Monday 18th March 2024
Contact Email for the Job Posting h.farahani@ubc.ca
Organization Artificial Intelligence in Medicine (AIM) Lab at the University of British Columbia
Location Vancouver, British Columbia, Canada
Title Machine learning for medical imaging and bioinformatics
URL https://aimlab.ca/jobs/
Closing date Sep 01, 2025
Description Job Summary
A post-doctoral fellowships (PDF) position in the field of machine learning/computational biology is available in the School of Biomedical Engineering and Department of Pathology and Laboratory Medicine at the University of British Columbia/Vancouver General Hospital. The incumbents will join an interdisciplinary team working to establish a program on machine learning applications in pathology and genomics. Candidates are expected to have extensive experience in one or more of the following areas: diverse areas of machine learning and statistics especially deep neural networks, statistics, and image processing.
The candidate will play an important role in the project team, including authoring grants, conducting large-scale international projects, managing collaborations, disseminating research findings, and assisting in managing junior lab members.
Organizational Status
The successful candidate will report to the Principal Investigator (Director of AI Research at OVCARE, Dr. Ali Bashashati).
Responsibilities
• Developing efficient deep learning algorithms for the classification and risk stratification of patients based on whole slide tissue images.
• Developing machine learning algorithms for studying the correlation between genomic/transcriptomic signatures and whole slide tissue images in cancer samples.
• Senior members: participation in the preparation of manuscripts and grant applications.
• Senior members: Participation in supervising junior lab members.
Qualifications and requirements
• Degree in computer science, bioinformatics, biomedical engineering, electrical engineering, or similar.
• Proven experience in the design and implementation of deep learning algorithms in image processing.
• Outstanding programming skills in Python and R.
• At least 2 years of experience working in one or more of the following areas: image processing, machine learning, large-scale genomic/transcriptomics, single-cell sequencing.
• Track record of development and implementation of novel machine-learning algorithms in cancer genomics.
• Extensive experience in utilizing machine learning libraries such as TensorFlow, Keras, PyTorch, 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.
• Outstanding publication record
* We are looking for candidates with strong analytical, programming, and machine-learning skills. Experience in biomedical applications is not necessary but desired. We encourage all qualified applicants to apply.
* Very competitive salary based on qualifications.
Compensation package
• We provide a very competitive package (depending on qualifications and experience)
How to apply
• Please apply online via https://aimlab.ca/jobs/