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Greater London, England, United Kingdom
Onsite
Adaptyv is building an automated lab that lets AI agents run biology experiments.
We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world.
We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today.
Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development.
We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation.
As AI designs more of biology, the bottleneck moves to experiments: running them fast, at scale and with data people can trust. Frontier AI labs and biotechs work with Adaptyv to close that loop, and many of these relationships grow into long-term partnerships.
You run these partnerships day to day, from the first project through delivery and renewal, and you make sure each partner gets more value from Adaptyv over time.
Run partner projects. You scope experiments and benchmarks with partner scientists and AI researchers, and you keep projects on track with our lab and engineering teams.
Grow each partnership. You find the next project, the larger campaign or the new team inside the same partner, and you help shape the terms.
Bring the partner’s voice back. You tell the lab and product what partners need next.
Fluent in biology and ML. You can discuss protein engineering and wet-lab data, and you understand why AI labs need experimental data for training and benchmarking.
Partnership or account experience. You have managed technical collaborations or accounts with AI labs, research platforms, biotech or pharma R&D.
Credible with scientists. Partners expect a peer, so a scientific background is a strong signal.
High agency. You see what a partnership needs and act on it without a playbook.
AI-native. You use AI tools every day for research, preparation and follow-up, and you check what they produce.
Application deadline
We are reviewing applicants on a rolling basis.
