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About the Role
You will work with customers to help them design better proteins and optimize their experimental outcomes by bridging their design models and our automated lab. This role is particularly focused on supporting ARIA's second cohort of Activation Partners, leveraging the UK's first AI-native automated wet lab in London.
Responsibilities
- Lead scientific projects with customers, translating biological questions into protein design and experimental strategies.
- Guide protein design strategy by advising on appropriate approaches like de novo design, diffusion models, protein language models, structure prediction, and physics-based methods.
- Analyze experimental data (binding, expression, stability) to inform subsequent design iterations.
- Develop new experimental capabilities by creating, validating, and integrating novel assays onto the automation platform in collaboration with Creator teams and internal scientists.
- Shape future ARIA programmes by understanding upcoming experimental needs and preparing accordingly with ARIA Programme Directors.
- Build long-term scientific partnerships and integrate learnings into product, science, and platform roadmaps.
Requirements
- Strong protein science foundation with a degree and/or hands-on experience in protein design, computational biology, biochemistry, structural biology, or a related field.
- Deep hands-on experience with biophysical characterization methods such as SPR, BLI, or nanoDSF.
- Fluency in modern protein design approaches, understanding their strengths, limitations, and applications.
- Strong quantitative skills, including proficiency with Python, notebooks, and basic statistics for analyzing experimental data.
- Excellent scientific communication abilities to collaborate effectively with researchers and articulate trade-offs.
- Comfort with ambiguity, including forming hypotheses, designing experiments, and iterating on solutions for underspecified scientific problems.
- High sense of ownership and responsibility for scientific outcomes.
Skills
- Protein Design
- Computational Biology
- Biochemistry
- Structural Biology
- SPR
- BLI
- nanoDSF
- Python
- Statistics
- Assay Development
- Lab Automation
Location
- London, UK (on-site)
Work Type
- Full time
- On-site
About the Company
- Adaptyv is building an automated lab for AI agents to conduct biology experiments, enabling agentic science where AI designs proteins, proposes hypotheses, and iterates on results.
- We are developing the infrastructure to connect AI agents with the physical world, addressing the current manual and time-consuming experimental process.
- We are a fast-growing biotech company trusted by leading biopharmas, frontier AI labs, and techbio companies.
- Our automated lab utilizes a sophisticated software and hardware stack, including API-controllable instruments, complex workflow orchestration, comprehensive observability, data processing pipelines, and AI-driven troubleshooting.
- We are scaling to meet the high demand for AI-driven wet lab experimentation.