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.

📌 AI Data Engineering Postdoctoral Fellow (Canada)
🏢 UBC
📍 Canada