Forward Deployed Scientist

Adaptyv is building an automated lab that enables AI agents to run biology experiments. The company is pioneering agentic science, where AI models design novel proteins, propose hypotheses, and iterate on experimental results, but currently cannot run experiments themselves. Adaptyv provides the infrastructure to give AI agents access to the physical world. The company is one of the fastest growing biotech firms, trusted by leading biopharmas, frontier AI labs, and techbio companies. Their automated lab combines a deep software and hardware stack including API-controllable lab instruments worth millions of USD, orchestrated devices through complex workflows, full observability of lab processes, data processing pipelines for physical-world data, and AI systems that troubleshoot production results and accelerate assay development. Adaptyv is rapidly growing and hiring talented people to scale and support the demand for AI-driven wet lab experimentation.

About the Role

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.

What You'll Do

• 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,s cience,and platform teams so the whole experience gets better.

What We're Looking For

• Protein science background.
• A degree and/or hands-on experience in protein design computational biology biochemistry structural biology or 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 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 strong communicator who's energized by solving hard problems alongside customers not just at desk.
• Scientific problem-solver.
• When campaign isn't working you form hypotheses design experiments test them iterate — you don't guess.
• Autonomous curious.
• You take ownership customer's success go deep whatever science demands.