Adaptyv
Forward Deployed Scientist
1mo ago
EuropeRemoteapiworkflow orchestrationdata processing pipelineshardware integrationai systems
Scientist working closely with customers to design better proteins and optimize AI-driven wet lab experiments in an automated biotech lab.
Responsibilities
- You're a scientist on staff who works shoulder-to-shoulder with customers to help them design better proteins and get more out of every experiment. You sit between their design models and our lab: helping them scope a campaign, pick the right design approach for the problem, make sense of the data that comes back, and decide what to try next.
- This is a hybrid role for a scientist who genuinely likes solving problems with people. One week you might be helping an AI lab choose between de novo design and a fine-tuned model for a hard target; the next, digging into a customer's binding data to work out why a design class underperformed and what to change. You'll turn one-off experiments into iterative design-build-test campaigns — and, over time, into deep, lasting partnerships.
- Partner with customers to scope protein design campaigns: define the target, the success criteria, and the experimental plan to get there.
- Advise on design strategy — which models and methods (de novo design, diffusion models, protein language models, structure prediction, physics-based tools) fit which problems, and where their limits are.
- Help design the right experiments to test a hypothesis: what to express, what controls to include, which assays will actually answer the question.
- Analyze experimental results with customers — binding, expression, stability — and translate data into the next round of designs. Deep experience with biophysical characterization techniques like SPR, BLI, nanoDSF etc is a must.
- Close the loop: turn each campaign's results into sharper designs and a tighter iteration cycle.
- Build trusted relationships that grow from a first project into long-term scientific partnerships.
- Feed what you learn back to our product, science, and platform teams so the whole experience gets better.
Requirements
- Protein science background. A degree and/or hands-on experience in protein design, computational biology, biochemistry, structural biology, or a closely related field.
- Fluent in modern protein design. You understand today's design and prediction models well enough to advise on which to use when — and you keep up as the field moves.
- Data-driven. You're comfortable analyzing experimental data (Python, notebooks, basic stats) and drawing clear conclusions from messy, real-world results.
- Loves working with people. You're a strong communicator who's energized by solving hard problems alongside customers, not just at a desk.
- Scientific problem-solver. When a campaign isn't working, you form hypotheses, design experiments to test them, and iterate — you don't guess.
- Autonomous and curious. You take ownership of a customer's success and go deep on whatever the science demands.
- Experience working with external partners or customers is a plus, but the core is being a great scientist who likes solving problems in the open.
Other
- Adaptyv is building an automated lab thats let 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.
- We are reviewing applicants on a rolling basis.