Build biological foundation models from RNA and genome data at Deep Genomics in Toronto. Apply bioinformatics insight and machine learning research to genetic medicine discovery.

This senior-level scientist role focuses on large-scale models that learn from genome and other -omics data. You will design architectures and pre-training methods while evaluating whether results are biologically meaningful. The work connects model building with biological questions and practical drug discovery decisions.

Key Responsibilities:
Model genome and other -omics data at large scale
Build and experiment with RNA sequence models
Evaluate whether model results are biologically meaningful
Relate machine learning outputs to drug discovery decisions
Set research direction beyond standard tools

Requirements:
Robust machine learning research background
Solid grasp of genome biology
Genomics or -omics data modeling experience
Published research or open projects
Skill linking machine learning results to biology

Bring bioinformatics perspective, foundation model development, and biological interpretation to Deep Genomics research in Toronto.

📌 Bioinformatics Foundation Models Scientist Toronto (Canada)
🏢 present of AI
📍 Canada