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)
🏢 present of AI
📍 Toronto