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Unlearn.AI
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Transforming clinical development by making every trial smarter with AI51-200 Employees

Jobs at Unlearn.AI

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Product

Product Manager

NewPosted 3 weeks ago

Product Manager

  • You understand how a new study's data gets into the workbench today: where people spend their time, which decisions they make again and again, and where what we learned from earlier studies gets lost. You have turned that into a clear, prioritized plan.
  • You have shipped at least one improvement our services team uses on real studies, in which an a...
Engineering

VP of Engineering

NewPosted 1 month ago

VP of Engineering

  • Lead Unlearn's engineering function across technical disciplines, owning the quality, reliability, compliance, and security of the systems that power our work. Ensure AI tools and systems are used heavily for efficiency and impact.
  • Drive execution: define projects, partner with teams on scoping and estimation, and run deliver...
Management

VP of Clinical Solutions

NewPosted 1 month ago

VP of Clinical Solutions

  • Lead Unlearn's scientific delivery organization and own the quality, timeliness, and scientific rigor of customer-facing delivery work across a portfolio of concurrent projects.
  • Partner closely with Business Development, Product, Engineering, R&D, and Quality Management to shape scopes of work, resolve cross-functional blockers, feed delivery learnings back into the product, and ensure what we sell is what we can deliver excellently.
Engineering

AI Engineer

NewPosted 2 months ago

AI Engineer

  • Build AI agents, skills, and tools that are core components of our workflows to create and deliver digital twins to customers
  • Build infrastructure, harnessing, and governance systems to manage agentic workflows in line with regulatory and compliance requirements
Engineering

Senior Clinical Data Scientist

NewPosted 3 months ago

Senior Clinical Data Scientist

  • Transform clinical trial, observational, and electronic health record data into high-quality, well-structured datasets.
  • Evaluate data quality, bias, and limitations and proactively propose mitigation strategies.