Our lab produces binding data faster than any one person can look at it. Runs come off the Gators and the Carterra, go through our processing pipeline, and land in a review queue. Somebody with real judgment then has to decide: is this curve real? Is that a fit artifact or a genuine two-state binding event? Does this replicate get delivered, or does the sample get re-run? That person is you. The second half of the job is talking to the customer about it. When a design team gets a plate back and three of their best predictions look like non-binders, they want to talk to someone who can explain why: reference subtraction, avidity, an off-rate at the edge of what the instrument resolves, or simply a bad protein. You'll be that person, on the call, sharing your screen, walking through sensorgrams. This is a role for a scientist who is very good at kinetics and also likes people. If you like one but not the other, you'll be unhappy here. We'd prefer you in Lausanne with us. A lot of the judgment in this job comes from being able to walk over to the instrument and ask what actually happened. But we're not going to lose the right person over it, so remote or hybrid works if you're clearly the one.
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.
