Deep Genomics harnesses artificial intelligence to innovate and develop transformative genetic therapies for complex diseases, revolutionizing the future of medicine.
Toronto
Deep Genomics collaborates across disciplines to solve hard molecular design and target biology problems historically requiring slow, empirical iteration. We can do this because of our Biological Foundation (BioFM) Model Platform - a single engine with lab-in-the-loop workflows, AI model development and refinement, fit-for-purpose training datasets, AI output dataset assets, screening technologies, information systems, and software systems. On this common architecture, we build, run and improve the world’s best Biological Foundation Models in an effort to transform the field of drug discovery - finding molecules and targets others would miss, and accelerating their development into life changing medicines for patients.
Hybrid · Toronto
Lead the research, design, and training of Biological Foundation Models using massive-scale genomic and transcriptomic datasets. Collaborate with biologists to integrate biological priors into model architectures and mentor junior scientists to maintain technical excellence.
Hybrid · Toronto
You will own and evolve the infrastructure powering ML pipelines, including cloud environments, CI/CD systems, and workflow orchestration. You will collaborate with scientists and engineers to ensure platform reliability, scalability, and reproducibility for AI-driven drug discovery.
