Our lab is a factory. DNA goes in, characterized proteins come out, and a customer gets results in days rather than the months a CRO would take. Everything that machine consumes — synthesized genes, reagents, consumables, biosensors, catalog proteins — is something we buy, on lead times we do not control. It is also most of what a protein costs to make, which makes procurement one of the biggest levers on gross margin in the business. So far scientists have bought what they need, decisions get made in hours, and nothing blocks an experiment. That was the right trade while we were proving the thing works. But we are multiplying lab throughput several times over, and at that volume procurement becomes a discipline: real terms with the suppliers we already buy from heavily, qualified second sources where we currently have one, inventory that is planned rather than remembered. Nobody has taken that on yet. You would be our first dedicated supply chain hire, and it is hands-on — you do the sourcing and the negotiating yourself. One thing makes it harder than a typical procurement job: our assay portfolio keeps expanding, and every new assay brings new reagents. You are not optimizing a static supply chain, you are building one that flexes with the science. How far the role goes from there is up to you.
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.
