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Scientist, Large Libraries

Cradle· Biology
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AmsterdamFull-timePosted 6mo ago

About the role

Scientist position in Cradle's Large Libraries team focused on developing high-throughput screening methods for protein-protein interactions and generating large-scale datasets to power AI/ML models for protein design and optimization.

Responsibilities

  • Develop and optimize novel workflows for high-throughput protein-protein interaction library screening
  • Build and optimize in vitro or cell-based assay pipelines across multiple display and screening modalities (yeast, phage, mRNA, ribosome display, or mammalian display)
  • Design, build, and execute molecular biology and biochemistry frameworks for library construction, screening, and data generation at scale
  • Establish robust and repeatable assays with the statistical rigor required for ML model training, evaluation and optimization
  • Drive and lead projects from experimental design through data delivery
  • Identify opportunities to improve throughput, data quality, repeatability, and workflow efficiency
  • Collaborate with a cross-functional team to troubleshoot complex technical challenges and iterate on solutions
  • Partner with the ML team to define data requirements and integrate experimental outputs into the ML pipeline
  • Communicate results, insights, and technical challenges effectively across disciplines
  • Contribute to shaping the scientific direction of the Large Libraries team and the Cradle platform

Qualifications

  • PhD in biochemistry, molecular biology, biophysics, synthetic biology, bioengineering, or a related field
  • Demonstrated creativity in method development: invented or substantially adapted workflows
  • Excitement to learn, contribute, and drive innovation in an early stage startup environment; comfortable with ambiguity and fast-paced environment
  • Strong verbal and written communication skills in English; proactively sharing results, successes and challenges in a cross-functional environment
  • Ability to run multiple projects simultaneously while ensuring that process steps are documented, and data are organized

Skills

Required:PhD qualification (as stated)Method developmentHigh-throughput screeningCommunication
Nice to have:Project leadership

Benefits

  • Very competitive salary
  • Generous equity stake in the company
  • Wide range of benefits and career progression opportunities
Last updated Sep 9, 2026. Interested? Apply on the company site.

About Cradle

Leverage AI to generate protein candidates and improve their properties. More breakthroughs in fewer experiments — guided by your own experimental data.

Leverage AI to generate protein candidates and improve their properties. More breakthroughs in fewer experiments — guided by your own experimental data.

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