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

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Note: Applications will be accepted until 11:59 PM on the Posting End Date.

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The expected pay for this position is $70000 per year benefits.

Machine Learning for Computational Pathology Medical Imaging and Clinical Text

Job Summary
The School of Biomedical Engineering at the University of British Columbia Vancouver campus is seeking one postdoctoral fellow to join our dynamic team in the AI in Medicine Lab (). This position is based in the School of Biomedical Engineering (SBME).

The successful candidate will work on advanced machine learning applications in computational pathology medical imaging and clinical text analysis. They will be expected to develop deep learning models for analyzing whole-slide histopathology images as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data. This position is ideal for candidates passionate about applying AI to real-world healthcare problems in cancer diagnostics and digital pathology.

Organizational Status
The successful candidate will report to the Principal Investigator (Director of AI Research at OVCARE Dr. Ali Bashashati).

Responsibilities

• Develops deep learning models for classification segmentation and risk stratification using histopathology and radiology images.
• Designs NLP models including large language models (LLMs) for analyzing pathology reports and other clinical text.
• Collaborates with clinical partners to identify and refine real-world use cases.
• Prepares manuscripts contributes to grant proposals and presents research findings.
• Supports and mentors junior lab members as appropriate.

Qualifications and 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 ones own.
• Demonstrates a commitment to enhancing ones own awareness knowledge and skills related to equity diversity and inclusion.

How to apply

Important: Applications will only be reviewed if BOTH of the following steps are completed:

• Apply through the UBC system
• Fill out this mandatory form

The expected pay for this position is $70000 per year benefits.

The initial appointment will be for 16 months commencing October 1 2025 or a mutually agreed upon date with a possibility for extension subject to satisfactory performance and funding availability.

Questions:

If you have any questions about the positions or the application processplease send contact & .

Review of applications will begin on September 29 2025 and continue until the position is filled.

We encourage applications from individuals of all backgrounds particularly those from equity-deserving groups. We are committed to creating inclusive spaces that foster innovation through diverse perspectives and experiences.

We invite applications from qualified candidates who share our commitment to employment equity and inclusive excellence and we welcome applications from candidates belonging to historically persistently or systemically marginalized groups: Indigenous (First Nation Métis Inuit) Peoples racialized persons persons with disabilities women 2SLGBTQIA people and trans and non-binary people.

The University is committed to creating and maintaining an inclusive and equitable work environment for all members of its workforce. An inclusive work environment presumes an environment where differences are appreciated recognized and integrated into current structures planning and decision-making modes. Within this hiring process we are committed to creating an inclusive and equitable process for all candidates (including but not limited to people with disabilities). Confidential accommodations are available on request. If you have any questions regarding accommodations or accessibility during the recruitment and hiring process or for more information and support please visit UBCs Centre for Workplace Accessibility website at or contact the Centre at .

We acknowledge that UBCs Vancouver campus is located on the traditional ancestral and unceded territory of thexʷməθkʷəyəm (Musqueam)people. As scientists and engineers we are committed to responsible and respectful research practices on this land.