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2 часа назад

Director, Data Science (AI)

235 000 - 307 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Релокация
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
Director, Data Science (AI): Leading data science initiatives for AI-driven drug development, including patient selection models, biomarker identification, and clinical trial optimization, with an accent on computational biology, machine learning, and multimodal bioinformatics. Focus on developing production-oriented AI models and agents, translating complex biological data into actionable insights, and presenting findings to executive stakeholders.

Location: Hybrid role requiring 3 days per week in office. Hiring is prioritized in the New York City and Boston metro areas; candidates in the Research Triangle, NC, and San Francisco Bay Area may also be considered. Applicants must reside in these locations or be willing to relocate.

Total compensation: $235,000–$307,000 annually, plus equity, comprehensive benefits, and perks.

Company

hirify.global is a technology- and AI-driven pharmaceutical company developing platforms and capabilities to accelerate drug development and clinical trials.

What you will do

  • Lead complex data science projects that advance the drug development portfolio.
  • Develop models for therapeutic hypothesis evaluation, patient stratification, and biomarker identification.
  • Design AI models for modernizing clinical trial evaluations, including surrogate endpoints.
  • Support the development and training of AI agents that automate and optimize biomedical workflows.
  • Collaborate with clinical, technical, research, and engineering teams.
  • Present complex analytical findings to senior stakeholders and executive leadership.

Requirements

  • PhD in computational sciences or life sciences.
  • 7+ years of post-academic experience in life sciences, biotech, pharma, or consulting.
  • Strong programming skills, particularly in Python.
  • Extensive experience with multimodal bioinformatics analysis.
  • Strong communication skills and the ability to present complex technical findings to senior stakeholders.
  • Availability to work in the required U.S. hub locations under the hybrid office schedule.

Nice to have

  • Experience with cloud computing environments and tabular or graph databases.
  • Strong background in machine learning and deep learning applied to biological problems.
  • Experience with large language models.
  • Experience collaborating with engineering teams on production systems.

Culture & Benefits

  • Work on AI-driven solutions intended to accelerate the development of new medicines.
  • Collaborate across clinical, technical, research, and engineering functions.
  • Equity and comprehensive benefits.
  • Generous additional perks.

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