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The University of British Columbia

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Postdoctoral Research Fellow in Cardiovascular Imaging, Precision Health and Artificial Intelligence (MOSAIC study) University of British Columbia in Canada

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral position with an expected salary of $100,000/year, commensurate with qualifications and experience. Initial term is one year with possible extension subject to performance, funding availability, and UBC policies.

Deadline

Oct 7, 2026

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Country

Canada

University

The University of British Columbia

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Keywords

Computer Science
Biomedical Engineering
Medical Imaging
Biology
Artificial Intelligence
Precision Medicine
Medical Science
Cardiac Imaging
Echocardiography
Clinical Data
Genomic
Bioinformatic
ML

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About this position

University of British Columbia is recruiting a Postdoctoral Research Fellow for the MOSAIC study in cardiovascular imaging, precision health, artificial intelligence, and machine learning. The role is based in the Division of Cardiology, Department of Medicine, Faculty of Medicine, working with Dr. Teresa Tsang and collaborators on a multi-site provincial initiative that integrates genomic and multi-omic data, echocardiographic imaging, and clinical information to predict cardiovascular disease risk and progression.

The fellow will develop AI models linking echo findings with genetic data, perform ML analyses on imaging datasets, standardize protocols, validate outputs, and contribute to translational tools for equitable cardiovascular care. The position also includes research leadership, manuscript and grant support, mentorship of students and research assistants, and collaboration across academic, clinical, industry, and community partners.

Eligibility highlights: PhD in AI, machine learning, cardiovascular medicine, genomics, or a related field obtained within the last 5 years; experience with biological, imaging, or clinical data; Python or R skills; and strong interdisciplinary communication and analytical abilities. Experience with medical imaging or genomic datasets is an asset. Commitment to equity, diversity, and inclusion is emphasized.

Funding: full-time postdoctoral appointment with an expected salary of $100,000/year, commensurate with qualifications and experience. The initial term is one year with possible extension subject to performance, funding, and UBC policies.

Location: Vancouver, British Columbia, Canada. Deadline: October 7, 2026. Applications are accepted until 11:59 PM on the posting end date.

How to apply: Submit a single PDF containing a cover letter (2 pages max), CV with publication list, and names/contact information for 3 references. Use the UBC Workday application link provided in the post. Direct inquiries to Dr. Teresa Tsang at [email protected].

Funding details

Full-time postdoctoral position with an expected salary of $100,000/year, commensurate with qualifications and experience. Initial term is one year with possible extension subject to performance, funding availability, and UBC policies.

What's required

PhD in artificial intelligence, machine learning, cardiovascular medicine, genomics, or a related discipline obtained within the last 5 years by the appointment start date. Demonstrated expertise in current machine learning techniques applied to biological, imaging, or clinical data. Proficiency in ML frameworks such as LLavaMed, EchoPrime, and DNABERT is an asset, along with programming in Python or R. Experience with medical imaging or genomic datasets is an asset. Strong communication skills, ability to work in interdisciplinary teams, adaptability in complex health systems, strong analytical and critical thinking, and commitment to equity, diversity, and inclusion are required.

How to apply

Submit a single PDF with a cover letter (2 pages max), CV including publication list, and names and contact information for 3 references. Send inquiries to Dr. Teresa Tsang by email if needed. Applications are reviewed immediately until the position is filled.

More information can be found here

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