At a Glance
- Tasks: Build and experiment with large-scale biological foundation models using RNA and genome data.
- Company: Join Deep Genomics, a leader in genetic medicine discovery in Toronto.
- Benefits: Competitive salary, health benefits, and opportunities for impactful research.
- Other info: Collaborative environment focused on cutting-edge research and career growth.
- Why this job: Make a real difference in drug discovery through innovative bioinformatics and machine learning.
- Qualifications: Strong background in machine learning and genomics, with published research experience.
The predicted salary is between 81000 - 99000 $ per year.
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
- Strong 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 in Toronto employer: present of AI
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