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Jobs(26,624)/Staff Scientist Role(100)/adaptyv (5) - Forward Deployed Scientist
adaptyv

adaptyv - Forward Deployed Scientist

London, United Kingdom2w ago
In OfficeEMEAArtificial IntelligenceNonprofitStaff ScientistPython

Requirements

• Strong protein science foundation. A degree and/or hands-on experience in protein design, computational biology, biochemistry, structural biology or a related field. • Biophysical characterisation experience. Deep hands-on experience with SPR, BLI, nanoDSF or related methods is required. • Fluency in modern protein design. You understand the major approaches used in the field, their strengths and limitations, and how to apply them to real design problems. • Strong quantitative instincts. Comfortable working with Python, notebooks and basic statistics to analyse noisy experimental data and reach clear conclusions. • Excellent scientific communication. Able to work closely with researchers, understand what they are trying to achieve and explain trade-offs clearly. • Comfort with ambiguity. You can take an underspecified scientific problem, form hypotheses, design the right experiments and iterate when things do not work. • High ownership. You take responsibility for scientific outcomes rather than simply handing work from one team to another. • Experience in assay development, lab automation or working with external scientific partners is a plus. • Location: London, UK (on-site), with travel to customers and ARIA Creator sites, and regular time at our Lausanne lab. • Type: Full time • Start date: ASAP. Our London lab comes online in 2027. • Application deadline • We are reviewing applicants on a rolling basis.

Responsibilities

• 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. • Develop new experimental capabilities. When an ARIA programme needs an assay that does not yet exist, work with the Creator team and our scientists to develop it, validate it and bring it onto the automation platform. • Shape future ARIA programmes. Work with ARIA Programme Directors to understand the experimental capabilities upcoming Creator cohorts are likely to need and help us prepare for them. • Build long-term scientific partnerships. Become a trusted scientific counterpart to the teams you work with, and bring what you learn back into our product, science and platform roadmap.

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