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 work on some of the most impactful problems at Adaptyv, wherever they appear. As we scale, you go to the bottleneck of the moment and fix it, whether that is a new process the lab needs, a pricing model or internal tooling that saves hours every week. You also find and open the next big opportunities for the company, such as a new partnership with an AI lab, a strategic program before it has a team, or support on a fundraise. You take each one from a vague goal to done, doing the work yourself rather than coordinating others, and then move on to the next.

What You'll Do

• Own projects end to end. You scope each project, get what you need from the teams it touches, and deliver it within weeks or a few months.

What We're Looking For

• Highly technical and AI-native. A STEM degree, and you are at home writing code, working with data and building your own tools, and AI tools are part of how you work every day.

• High agency and range. You have run projects across several fields, you learn a new domain fast, and you find what matters without a prioritized list.

• Bio background preferred. Biology, biochemistry or protein engineering helps, but outliers from other fields should apply anyway.

Application deadline

We are reviewing applicants on a rolling basis.