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Posted 4 mo agoFirst seen 3 h ago
Senior Research Scientist, Machine Learning (BioFM)
Posted by Deep Genomics on 8 June 2026, 135 days ago. Still on their Lever board when we checked 53 min ago.
What the posting is about
Lead and innovate in AI research team, focusing on Biological Foundation Models. Pioneer novel deep learning architectures and pre-training paradigms. Solve high-impact, frontier problems in human health and drug discovery.
Read out of the posting
Levelsenior
Experience asked5+ years
EmploymentFull time
LocationToronto, Ontario
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-06-08
Found vialever, direct from their system
We saw it 5 months after it went up.
The posting, as the company wrote it
About Us
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. 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.
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). You will pioneer novel deep learning architectures and pre-training paradigms that learn the fundamental language of the genome and cellular biology. 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. 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.
Copied from Deep Genomics’s own board, not rewritten. Original ↗
Also open at Deep Genomics
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