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2 дня назад

Principal Scientist, Protein Design (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Principal Scientist, Protein Design (AI): Leading high-throughput mammalian cell-surface screening and in vitro selection platforms for viral and bacterial glycoprotein antigens with an accent on antigen optimization, directed evolution, and computationally designed candidates. Focus on designing complex screening campaigns, generating actionable datasets for AI- and structure-guided protein design, and advancing de novo proteins such as minibinders and VHHs.

Location: Cambridge, Massachusetts, United States; 70% in-office and 30% flexible work model

Company

hirify.global develops mRNA-based vaccines and therapeutics for infectious, immuno-oncology, rare, and cardiovascular diseases.

What you will do

  • Lead the design and execution of in vitro selection and mammalian cell-surface screening campaigns.
  • Design high-throughput display campaigns for complex, multimeric glycoprotein antigens.
  • Build scalable screening systems and advance directed-evolution capabilities, including new selection pressures and mammalian display modalities.
  • Partner with computational protein design teams by generating high-quality datasets and actionable design feedback.
  • Support screening of de novo designed proteins, including minibinders and VHHs.
  • Mentor scientists and represent in vitro selection capabilities in cross-functional discovery and platform discussions.

Requirements

  • PhD in Immunology, Molecular Biology, Biochemistry, Protein Engineering, or a related field.
  • 5+ years of post-PhD industry or equivalent experience leading in vitro selection, mammalian cell-surface display, or directed-evolution efforts.
  • Deep expertise in mammalian display systems, high-throughput selection strategies, and experimental assay design.
  • Demonstrated ability to drive complex screening campaigns from design through execution.
  • Working knowledge of computational, structure-based, or AI-driven protein design workflows.
  • Ability to work within the Cambridge, Massachusetts 70/30 in-office model.

Nice to have

  • Expertise in glycoprotein antigen expression and engineering, including folding, trafficking, cleavage, stability, and glycan effects.
  • Experience with library design and construction, DNA assembly, NGS-based readouts, and quantitative enrichment analysis.

Culture & Benefits

  • In-person collaboration, direct mentorship, and a collaborative research environment.
  • Healthcare coverage and voluntary benefit programs.
  • Fitness, mindfulness, and mental health resources.
  • Family planning benefits, including fertility, adoption, and surrogacy support.
  • Paid vacation, volunteer days, sabbatical, global recharge days, and year-end shutdown.
  • Savings and investment opportunities plus location-specific benefits.

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