Build AI data systems as a full-time Postdoctoral Research Fellow at UBC in Vancouver, specializing in Python, PostgreSQL, and biological datasets.
UBC’s Nunez Laboratory, BC Cancer, and SOZO Intuition Systems share this 12-month Mitacs fellowship. You will develop data engineering and AI/ML systems for biological and clinical information. The work combines large language models, natural language processing, and scientific data quality within multidisciplinary teams.
Key Responsibilities: Architect pipelines ingesting diverse biological and clinical data
Develop AI pipeline components using large language models
Manage biological entities with vector databases and PostgreSQL
Integrate NLP workflows for academic and clinical text
Supervise trainees and prepare peer-reviewed manuscripts
Requirements: PhD completed within the last five years
Robust Python, FastAPI, and PostgreSQL proficiency
Experience with LLMs, vector databases, and NLP tools
Experience operating Docker pipelines within AWS
Eligibility for Mitacs funding and required authorization
Apply your Python, AI/ML, NLP, and data engineering expertise to healthcare and life sciences research.

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📌 AI Data Engineering Postdoctoral Fellow (British Columbia)
🏢 UBC
📍 British Columbia