Senior Research Scientist, Machine Learning (BioFM)
Hybrid (Toronto, ON)$175k - $200kFull-timePosted 4mo ago
About the role
Senior/Staff Machine Learning Scientist focused on building Biological Foundation Models (BioFMs) to learn the language of the genome and cellular biology, applying novel deep learning architectures and pre-training paradigms at scale.
Responsibilities
- Lead the creative research, architecture design, and training of Biological Foundation Models (BioFMs) on massive-scale genomic, transcriptomic, and single-cell datasets.
- Collaborate with computational biologists and drug developers to integrate deep biological priors into model architectures and training objectives.
- Rigorously implement, train, debug, and evaluate large-scale models to demonstrate scientific validity and drive progress on frontier problems in human health and genetic medicines.
- Stay current with ML and computational biology research and identify cross-disciplinary applications.
- Mentor junior scientists and engineers, fostering technical excellence through leadership and code review.
- Share research findings through internal presentations and contribute to publications in top-tier venues.
Qualifications
- PhD (or equivalent) with distinguished research focus in Computational Biology, Machine Learning, Computer Science, or related quantitative field.
- Deep understanding of modern deep learning and foundation models (CNNs, Transformers, sequence models) for biological/genomic data.
- Proven track record of building and scaling AI models for complex biological datasets (e.g., single-cell genomics, DNA/RNA sequences).
- Ability to implement, train, and debug performant deep learning models using PyTorch.
- Experience with massive datasets and scale-related engineering/algorithmic challenges.
- Excellent communication skills for collaboration with ML engineers and biological domain experts.
Skills
Required:PhD or equivalent in quantitative fieldDeep learningPyTorchGenomics biology literacy
Benefits
- Competitive compensation including meaningful stock ownership.
- Comprehensive benefits - health, vision, dental for employees and families, employee and family assistance program.
- Flexible work environment - flexible hours, extended long weekends, holiday shutdown, unlimited personal days.
- Maternity and parental leave top-up coverage and new parent paid time off.
- Learning and development budget & lunch and learns.
Last updated Jul 1, 2026. Interested? Apply on the company site.
About Deep Genomics
Programming RNA Therapies Any Gene, Any Genetic condition
Revolutions in AI, biology and automation are enabling a new approach to medicine. Deep Genomics is at the forefront.
AI PlatformRNA biologydrug developmentgenetic conditions
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