Scientist, Protein Expression & Purification

Adaptyv · Lausanne · FullTime

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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.

About the Role

You'll build out protein expression and purification at Adaptyv, with a focus on mammalian systems — CHO and HEK, transient and stable. This is the foundation the rest of the platform stands on: titers, quality, and turnaround here set the ceiling for everything downstream.

Your job is to take expression and purification from bespoke, person-dependent protocols to a robust, automated, high-throughput product. You'll optimize and run the science hands-on, work with lab automation to scale it onto liquid handlers and automated systems, and work with the software team to track samples, capture process data, and make production observable and predictable. You'll lead the science and stay deeply hands-on.

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We are reviewing applicants on a rolling basis.

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