Behind the API and the AI agents there is a real, physical lab in Lausanne: millions of francs of instruments, freezers full of reagents, deliveries arriving every day, and customer samples going out. When it runs smoothly, a customer gets their results in days. When it does not — a reagent runs out mid-run, a delivery sits unopened, an instrument goes down and nobody noticed the service contract lapsed — experiments stop, and customers feel it immediately. You are the person who makes sure that does not happen. What is on the shelves, what is on order, what is shipping, and what is about to break — that is yours, and you will run it. This is a hands-on, in-the-lab role, working closely with our Lab Manager and with the scientists whose experiments depend on you getting it right. This is a good role to be early in your career in. We are going from roughly 25 people to roughly 50 in the next year and multiplying the throughput of the lab, and the person who does this job well will not be doing the same job in two years. We are looking for someone who fixes things rather than reporting them.
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.
