Build the infrastructure that makes clinical knowledge executable.
We’re working with an early-stage, deeply technical clinical AI company building a fundamentally different approach to how AI can be used in healthcare.
Their core technology transforms clinical standards including prose, tables, algorithms, exceptions, and cross-references into executable, evidence-bound decision artifacts that are deterministic, verifiable, and traceable to their source evidence.
The technology is already live in clinical production, meaning this is an opportunity to work on frontier AI research with genuine real-world impact, not another research project sitting in a demo environment.
WHY THIS IS A GREAT OPPORTUNITY
WHAT YOU'LL DO
WHAT WE'RE LOOKING FOR
You could be a strong fit if you have 3+ years of research or industry experience, or are a final-year PhD/postdoc, particularly in areas involving ML, AI, clinical AI, NLP, formal methods, or related fields.
The ideal candidate is someone who enjoys asking: “How do we know this actually works?”- and then designing the experiment, benchmark, or system needed to prove it.
Interested in building AI systems where correctness actually matters? Apply to learn more.
Member, Technical Staff • Toronto, ON, Canada
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