7 дней назад
Senior AI Researcher
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
is a clinical-stage TechBio company developing AI-native drug discovery and development systems through its 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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