Deep Genomics

Senior Research Scientist, Machine Learning (BioFM)

Toronto, Ontario · Senior

Sponsorship not specified$175k-$200kDetected 43 days ago

GCPMachine LearningDeep LearningData ScienceNLPBioinformaticsResearchLeadershipCommunicationMentoringPublic Speaking

About the role

With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.
You will pioneer novel deep learning architectures and pre-training paradigms that learn the fundamental language of the genome and cellular biology.
If you are a first-principles thinker excited to bridge advanced ML with genome biology to solve high-impact, frontier problems in human health and drug discovery, this is a unique opportunity.

Lead the creative research, architecture design, and training of Biological Foundation Models (BioFMs), on massive-scale genomic, transcriptomic, and single-cell datasets.
Collaborate closely with computational biologists and drug developers to integrate deep biological priors directly into model architectures and training objectives, ensuring our BioFMs capture fundamental and scientifically meaningful representations.
Deep Genomics encourages applications from all backgrounds who seek the opportunity to build the world's leading AI-driven genetic medicine company.

Experience working with massive datasets and a deep understanding of the engineering and algorithmic challenges associated with scale.

Experience technically leading projects or mentoring junior researchers/engineers.
Proficiency with cloud computing platforms (e.g., GCP) for large-scale model training and experimentation.
Contributions to open-source projects demonstrating the ability to solve complex research problems in ML or computational biology.

The salary range for this role is $175,000 - $200,000, and reflects Canada-based roles
The salary range for this role is $175,000 - $200,000, and reflects Canada-based roles; compensation may differ for U.S.-based candidates.

A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery.
Highly competitive compensation, including meaningful stock ownership.
Comprehensive benefits - including health, vision, and dental coverage for employees and families, employee and family assistance program.
Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days.
Maternity and parental leave top-up coverage, as well as new parent paid time off.
Focus on learning and growth for all employees - learning and development budget & lunch and learns.
Facilities located in the heart of Toronto - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences.
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 advancements in machine learning and computational biology research, identifying cross-disciplinary applications to solve real-world challenges.

Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery.
Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods.
Opportunity We are seeking an exceptional and creative Senior/Staff Machine Learning Scientist to lead and innovate within our core AI research team, specifically focusing on the creative building of Biological Foundation Models (BioFMs).
Rather than just applying out-of-the-box ML to biological datasets, you will design the next generation of BioFMs from tackling complex -omics data at scale.
We offer competitive compensation aligned with local market benchmarks.

If you have a disability or special need, accommodation is available on request for candidates taking part in all aspects of the selection process. *This posting reflects a current vacancy.

This listing is sourced directly from Deep Genomics's careers page and normalized into a canonical job model.