Postdoctoral Fellow – Cardiovascular Imaging, AI & Precision Health

About the role

The Division of Cardiology at UBC is seeking a motivated postdoctoral fellow to join Dr. Teresa Tsang’s team. The role focuses on developing AI‑driven, multi‑modal frameworks that integrate genomic, imaging, and clinical data to predict cardiovascular disease risk.

Key responsibilities

• Design and implement AI/ML models linking echocardiographic findings with genomic data for diverse populations.
• Perform quality control, validation, and standardisation of echo image analyses.
• Manage research operations, timelines, and compliance with institutional review and data‑privacy requirements.
• Collaborate with academic, clinical, and industry partners to translate findings into scalable tools.
• Lead or co‑lead grant proposals, manuscript preparation, and present results at conferences.

Required profile

• PhD (within the last 5 years) in AI, machine learning, cardiovascular medicine, genomics, or related field.
• Demonstrated expertise in modern machine‑learning techniques applied to biological, imaging, or clinical data.
• Strong analytical, critical‑thinking abilities and excellent communication skills.
• Commitment to equity, diversity and inclusion in research environments.

Required skills

• Python programming
• R programming
• Experience with ML frameworks such as LLavaMed, EchoPrime, DNABERT