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

Summary

The University of British Columbia seeks a postdoctoral fellow to join the Tsang Laboratory within the Division of Cardiology. The role focuses on developing AI/ML models that integrate echocardiographic imaging, genomic, and clinical data to predict cardiovascular disease risk and progression as part of the MOSAIC Study, a newly funded provincial initiative. The 12‑month full‑time position, renewable, offers a salary of $100,000 CAD per year and is based on‑site at UBC Hospital in Vancouver. The fellow will engage in algorithm development, data integration, model validation, and collaborative research with academic and industry partners, while receiving structured mentorship and career development support.

Key Facts

Department	Department of Medicine
Position Type	Full-Time
Discipline	Cardiology
Research Area	AI/ML models for cardiovascular disease prediction
Salary	$100,000 CAD per annum (commensurate with qualifications and experience)
Funding	Salary
Contract Duration	12 months with possibility of extension
Deadline	2026-10-07
Employer Contact	Dr. Teresa Tsang ([email protected])

About the Project

The MOSAIC Study (Multi‑Omics and Sonography to Advance Integrated Cardiac Care) is a multi‑site provincial program that aims to create a comprehensive, multi‑modal framework for cardiovascular disease prediction. By integrating genomic/omic data, echocardiographic imaging, and clinical information, the project will develop AI/ML models that link cardiac phenotypes with genetic factors, predict disease risk and progression, and support equitable access to advanced cardiac imaging tools across British Columbia.

Key Responsibilities

• Design and develop AI/ML algorithms for cardiovascular imaging analysis
• Integrate genomic, omic, imaging, and clinical data into unified predictive models
• Perform quality control, validation, and bias mitigation of AI outputs
• Collaborate with clinicians, genomics specialists, and industry partners
• Co‑supervise students and provide mentorship
• Manage research timelines, data governance, and regulatory compliance
• Prepare manuscripts, conference presentations, and white papers
• Contribute to grant proposals and interdisciplinary research initiatives

Required Skills

• Expertise in artificial intelligence and machine learning methods
• Experience with cardiovascular imaging, particularly echocardiography
• Knowledge of genomics and multi‑omics data integration
• Proficiency in programming languages such as Python or R
• Strong statistical and data analysis skills
• Ability to conduct model validation and bias assessment
• Excellent written and oral communication for scientific dissemination
• Teamwork and collaboration across clinical and research teams

Who Should Apply

Applicants who have completed a PhD in a relevant field such as biomedical engineering, computer science, bioinformatics, cardiology, or related disciplines and who are interested in applying artificial intelligence and machine learning to cardiovascular imaging and precision health are encouraged to apply.

About the Employer

The University of British Columbia is a public research university recognized as one of the world’s leading institutions. Its Faculty of Medicine and Department of Medicine host extensive clinical and research programs, emphasizing translational research, precision medicine, and health equity. The campus provides world‑class facilities, interdisciplinary collaboration opportunities, and a supportive environment for researchers.

Frequently Asked Questions

What is the salary for this position?

$100,000 CAD per annum, commensurate with qualifications and experience.

What is the contract duration?

12 months with possibility of extension.

When is the application deadline?

October 7, 2026.

Who is the contact person for this position?

Dr. Teresa Tsang ([email protected]).

Where is the position located?

UBC Hospital Site, Vancouver, BC, Canada.