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обновлено 8 дней назад

(Senior) Scientist

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Netherlands/Switzerland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
(Senior) Scientist (protein engineering and AI-guided discovery): Developing high-throughput screening methods for protein-protein interaction libraries and generating large-scale datasets for Cradle’s AI/ML platform with an accent on molecular biology, biochemistry, and assay development. Focus on designing reproducible display and screening workflows, improving data quality and throughput, and integrating experimental outputs with ML models.

Location: Amsterdam, Netherlands; on-site

Company

hirify.global develops an AI-guided software platform for protein discovery and optimization across biopharma, biotech, agri-tech, food-tech, and academia.

What you will do

  • Develop and optimize high-throughput workflows for screening protein-protein interaction libraries.
  • Build and execute in vitro and cell-based assay pipelines across yeast, phage, mRNA, ribosome, and mammalian display modalities.
  • Design molecular biology and biochemistry frameworks for library construction, screening, and large-scale data generation.
  • Establish robust, repeatable assays with statistical rigor for ML model training, evaluation, and optimization.
  • Lead projects from experimental design through data delivery and improve throughput, data quality, repeatability, and workflow efficiency.
  • Partner with ML and cross-functional teams to integrate experimental outputs and address complex technical challenges.

Requirements

  • PhD in biochemistry, molecular biology, biophysics, synthetic biology, bioengineering, or a related field.
  • Demonstrated creativity in developing or substantially adapting experimental workflows.
  • Strong written and verbal English communication skills are required.
  • Ability to manage multiple projects while documenting processes and organizing physical and digital data.
  • Comfort working with ambiguity and a fast-paced early-stage startup environment.

Nice to have

  • Large-scale DNA library construction with more than 10^6 variants.
  • Experience with display platforms, flow cytometry, or FACS.
  • Binding kinetic measurements such as SPR, BLI, or ELISA.
  • Next-generation sequencing library preparation, quality control, and bioinformatic analysis.
  • High-throughput data analysis, Python or R scripting, statistical experimental design, or laboratory automation.

Culture & Benefits

  • Work within a distributed organization with offices in Amsterdam, Boston, and Zurich.
  • Join an experienced team of just under 100 people with funding for multiple years of runway.
  • Competitive salary, generous equity stake, benefits, and career progression opportunities.
  • Inclusive hiring based on merit with zero tolerance for discrimination.

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