Adaptyv

22 Total Employees

Jobs at Adaptyv

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Recently posted jobs

24 Days AgoSaved
In-Office
London, Greater London, England, GBR
Biotech
Build LabOS, a full-stack platform orchestrating automated biology experiments. Develop APIs and interfaces for real-time lab visibility, AI agents for experiment decisions and troubleshooting, API integrations for laboratory hardware, and scheduling systems coordinating instruments and complex workflows. Own significant product areas, make decisions in ambiguous environments, and iterate based on user feedback while working across software and physical-world biology.
24 Days AgoSaved
In-Office
London, Greater London, England, GBR
Biotech
Own UK customer operations, strategic programmes, partnerships, community events, and marketing communications for Adaptyv’s London automated biotech lab. Coordinate customers, partners, scientists, and internal teams; manage milestones and deliverables; build efficient operating processes; and represent the company across the UK life-sciences ecosystem. This on-site role requires strong organisation, communication, ownership, and comfort using AI tools in a fast-changing startup environment.
24 Days AgoSaved
In-Office
London, Greater London, England, GBR
Biotech
Own the launch and ongoing operation of Adaptyv’s London automated biotech lab. Responsibilities include site fit-out, permits, equipment, suppliers, budgets, UK entity administration, hiring the founding team, customer onboarding and delivery, and developing relationships across the UK life-sciences ecosystem. This hands-on general manager role requires broad operational ownership, strong execution, life-sciences familiarity, and comfort using AI tools.
24 Days AgoSaved
Hybrid
London, Greater London, England, GBR
Biotech
Build backend systems that make automated biology labs programmable. Responsibilities include architecting data pipelines for protein characterization data, developing APIs integrating laboratory instruments and robotics, and translating molecular biology workflows into reliable, scalable software. The role involves collaborating with scientists and automation engineers, processing heterogeneous physical-instrument data, and supporting highly autonomous AI-driven experimentation infrastructure.