Deep Genomics is hiring a Senior Research Scientist in Toronto!
Deep Genomics, a Toronto-headquartered company building an AI-driven drug discovery platform, is hiring a senior-level machine learning scientist to join its core AI research group. The role centres on inventing biological foundation models — deep learning systems pre-trained on genomic and cellular data — rather than applying off-the-shelf methods to biological datasets. The team spans machine learning, bioinformatics, data science, engineering and drug development, and works to decode RNA biology in order to surface new drug targets, mechanisms and therapeutic candidates that conventional approaches cannot reach. This is a research-heavy, first-principles position for someone who wants to pair advanced ML with genome biology on frontier problems in human health. The posting is open at either the Senior or Staff level depending on experience, and the successful candidate will help shape the next generation of the company's modelling research.
Key responsibilities
- Lead and contribute to research on biological foundation models within the core AI team
- Design novel deep learning architectures and pre-training strategies suited to genomic and cellular data
- Work with large-scale omics datasets, including curation and modelling at scale
- Translate biological questions into machine learning formulations that support target and therapeutic discovery
- Collaborate with colleagues in bioinformatics, data science, engineering and drug development
- Communicate research findings and help set technical direction for the modelling group
Key requirements
- Doctoral-level or equivalent research background in machine learning, computational biology or a related field
- Demonstrated experience designing and training deep learning models, ideally including foundation or large pre-trained models
- Strong grounding in genomics, RNA biology or computational biology sufficient to reason about biological data
- Comfort handling large, complex and noisy omics datasets
- First-principles, creative research mindset with a record of novel methodological contributions
- Ability to work across disciplines and communicate technical work to scientific collaborators
- Seniority: Senior / Staff
- Work mode: Not specified
- Key skills: deep learning, machine learning research, foundation models, genomics, RNA biology, omics data, bioinformatics, model pre-training, Python
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