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2 часа назад

Research Scientist (AI/Biology)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
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
Research Scientist (AI/Biology): Developing frontier AI architectures for biological problems with an accent on adapting large foundation models to genomics and cellular systems. Focus on designing post-training pipelines, evaluation frameworks, and translating machine learning advances into biological discovery.

Location: Must be based in San Francisco, CA (On-site)

Company

hirify.global is an AI research lab dedicated to mastering the code of life and reducing human suffering through generative genomics and biological intelligence.

What you will do

  • Adapt frontier AI models to biological tasks using fine-tuning, post-training, and architectural modifications.
  • Design and execute experiments applying large models to genomics, regulatory biology, and protein biology.
  • Develop evaluation pipelines and benchmarks for biological tasks like variant interpretation and gene regulation modeling.
  • Design biologically meaningful data representations across sequence, molecular, and multimodal modalities.
  • Analyze model behavior and failure modes to improve reasoning in biological contexts.
  • Collaborate with computational biologists and systems architecture teams to integrate biological capabilities into foundation models.

Requirements

  • Must be authorized to work in the U.S. (E-Verify participant)
  • Strong background in machine learning and deep learning, including generative architectures like LLMs or diffusion models.
  • Experience adapting large models to new domains via fine-tuning or architectural modifications.
  • Proficiency in Python and ML tooling (PyTorch or JAX, distributed training).
  • Familiarity with molecular biology and biological data modalities (genomics, protein biology, or cellular systems).
  • Mid-to-senior level experience building and deploying ML systems in research or production.

Nice to have

  • Experience with genomic sequence models like Evo, HyenaDNA, or AlphaFold.
  • Background in structural biology, chemistry, or multimodal biological modeling.
  • Experience scaling ML experiments across large GPU clusters.
  • Research publications in ML for biology or chemistry.

Culture & Benefits

  • Work on frontier AI systems in a mission-driven, collaborative environment.
  • Engage in cross-disciplinary partnerships across AI labs, biotechs, and research institutes.
  • Focus on innovative technology with significant impact on human health.

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