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7 часов назад

Scientist II, Display Technologies (Protein Engineering)

124 000 - 155 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Scientist II, Display Technologies (Protein Engineering): Designing and executing phage display campaigns to discover and characterize antibodies against soluble and membrane-protein targets with an accent on library construction, selection strategy, and rigorous hit validation. Focus on troubleshooting difficult targets, adapting affinity assays to higher-throughput formats, and generating high-quality datasets for AI antibody design.

Location: South San Francisco, California, United States

Salary: $124,000–$155,000 annually, plus bonus and equity

Company

hirify.global is a biotech startup using generative AI and foundation models for biology to transform drug discovery and develop protein and antibody therapeutics.

What you will do

  • Design, execute, and own phage display campaigns from library construction through panning and hit validation.
  • Develop selection strategies for soluble antigens and difficult membrane-protein targets, including GPCRs.
  • Build diverse display libraries using cloning, mutagenesis, and molecular assembly.
  • Run affinity and functional characterization using flow cytometry, ELISA, SPR, and related assays.
  • Partner with computational and ML colleagues to generate, structure, and quality-control datasets for model training and evaluation.
  • Mentor associate scientists and contribute to technical standards, reports, presentations, and method documentation.

Requirements

  • PhD in Molecular Biology, Biochemistry, Immunology, Protein Engineering, or a related field, plus 2–4 years of relevant industry experience.
  • Significant hands-on experience with antibody or protein discovery by phage display, including library design, panning, selection, and hit validation.
  • Strong molecular biology skills in cloning, mutagenesis, and library assembly.
  • Hands-on flow cytometry (FACS) experience is required, including data interpretation and gating strategies.
  • Experience independently running campaigns and troubleshooting challenging targets; membrane-protein experience is strongly preferred.
  • Knowledge of antibody characterization assays, mammalian cell culture, experimental design, documentation, and scientific communication.

Nice to have

  • Experience with SPR, BLI/Octet, alternative display formats, or lab automation.
  • Working knowledge of Python or R for large-dataset analysis.

Culture & Benefits

  • Collaborative, multidisciplinary environment focused on advancing AI-enabled drug discovery.
  • Open, flexible, and friendly work environment.
  • Competitive benefits package with base salary, bonus, and equity.
  • Opportunities for mentoring, knowledge-sharing, and long-term career development.

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