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7 дней назад

Senior AI Researcher

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US/Canada
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
Senior AI Researcher (AI/biomedical drug discovery): Advancing frontier AI research and end-to-end applications across biomedical discovery, design, and translation with an accent on large-scale data, real-world applications, and cross-functional research. Focus on developing AI-powered approaches for virtual patients, virtual cells, and scalable drug discovery while translating complex biological data into medicines.

Location: Remote opportunity within the United States

Company

hirify.global is a clinical-stage TechBio company developing AI-native drug discovery and development systems through its hirify.global OS platform.

What you will do

  • Advance frontier AI research for scalable biomedical discovery.
  • Develop end-to-end AI applications across drug discovery, design, and translation.
  • Contribute to a biomedical world model connecting virtual patients, virtual cells, and real-world data.
  • Collaborate with scientists, engineers, biologists, physicians, drug hunters, and operational teams.
  • Translate complex biological data and research into practical drug discovery applications.

Requirements

  • PhD in machine learning, NLP, computer vision, or equivalent practical experience.
  • 3+ years of frontier AI research experience.
  • Experience working with large datasets and cross-functional AI projects.
  • Strong verbal and written communication skills.
  • Passion for real-world applications and measurable impact.

Nice to have

  • Experience in biomedicine and drug discovery.
  • Willingness to learn biomedical and drug discovery concepts.

Culture & Benefits

  • Remote work within the United States.
  • Collaboration across research and engineering, biology and medicine, business, and operations.
  • Environment combining frontier research, industrialized wet and dry labs, and real-world delivery.
  • Rapid experimentation, iteration, and close feedback loops.
  • Values centered on integrity, ownership, active learning, urgency, and cross-functional collaboration.

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