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6 дней назад

Co-op, AI for Protein Design

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

Текст:
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TL;DR
Co-op, AI for Protein Design (AI/Protein Engineering): Researching generative and predictive models for protein and antibody design, analyzing experimental datasets, and building workflows that connect model predictions with candidate prioritization and wet-lab feedback with an accent on protein sequence, structure, function, and developability. Focus on building datasets and benchmarks, evaluating model outputs, and iterating models through biological and experimental feedback.

Location: San Francisco, CA, USA

Company

hirify.global builds AI systems and proprietary AI Science Factory instruments to automate the scientific method and accelerate discovery across medicine, materials, and energy.

What you will do

  • Research generative and predictive models for protein and antibody design.
  • Analyze biological and experimental datasets to evaluate model outputs and guide design decisions.
  • Prototype workflows connecting model predictions, candidate prioritization, and wet-lab feedback.
  • Build datasets and benchmarks supporting domain-specific protein design models and general AI research models.
  • Communicate results through code, notebooks, written summaries, and presentations.

Requirements

  • Currently enrolled in a PhD program in computer science, machine learning, computational biology, bioengineering, biophysics, or a related field.
  • Research experience in machine learning, computational biology, or protein engineering.
  • Strong Python skills and experience with PyTorch, JAX, or similar frameworks.
  • Experience working with biological sequence, structure, or assay data.
  • Clear communication skills and comfort collaborating with cross-disciplinary teams.

Nice to have

  • Experience with protein language models, structure prediction, or generative design, including diffusion or flow-based models.
  • Familiarity with antibody design, developability, or wet-lab validation concepts.
  • Publications, preprints, or open-source work in machine learning for biology.

Culture & Benefits

  • Work with Life Science AI scientists and machine learning researchers on scientific superintelligence.
  • Values include truth, trust, curiosity, grit, and velocity.
  • Startup-speed environment focused on applying AI to challenges in medicine, materials, and energy.
  • hirify.global is committed to equal employment opportunity regardless of protected characteristics.

Hiring process

  • Applications are accepted directly from candidates; unsolicited resumes from recruitment or staffing agencies are not accepted unless the agency is contacted by hirify.global' internal Talent Acquisition team.

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