Forward-Deployed Scientist

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 with customers to help them design better proteins and get more out of every experiment, sitting between their design models and our lab.

In London, a large share of that work is with ARIA. Adaptyv has been selected for ARIA's second cohort of Activation Partners, and ARIA, the UK's Advanced Research + Invention Agency, is funding our new automated lab in London: the UK's first AI-native automated wet lab.

ARIA backs ambitious research programmes across areas such as engineering human immunity, protein-based materials and synthetic plants. The teams it funds, called Creators, often need experimental capabilities that do not yet exist. You'll work directly with those teams to define what needs to be built, develop the assays, and bring them onto our automation platform.

Our goal is to help the next 100 UK biotechs and neopharmas get started by the end of 2028.

What You'll Do

• Lead scientific projects with customers. Translate biological questions into clear protein design and experimental strategies, including targets, success criteria, constructs, controls and assays.

• Guide protein design strategy. Help teams choose the right approaches for the problem, from de novo and diffusion-based design to protein language models, structure prediction and physics-based methods.

• Turn data into decisions. Analyse binding, expression, stability and other assay data with customers and determine what the next round of designs should test.