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Senior Data Scientist (AI)

177 500 - 232 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Senior Data Scientist (AI): Developing advanced models for patient selection, therapeutic hypothesis evaluation, biomarker identification, and clinical trial optimization with an accent on computational biology, multimodal bioinformatics, and machine learning. Focus on building AI agents for biomedical workflows, translating complex biological data into actionable insights, and presenting analytical findings to executive stakeholders.

Location: Hybrid, requiring 3 days per week in office in the New York City or Boston metro areas; applicants 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.

Salary: $177,500–$232,000 annual base salary, plus equity and benefits.

Company

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

What you will do

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

Requirements

  • PhD in computational sciences or life sciences.
  • 3+ years of post-academic experience in life sciences, biotech, pharma, or consulting.
  • Strong programming skills, particularly in Python.
  • Extensive experience in multimodal bioinformatics analysis.
  • Ability to collaborate with cross-functional teams and communicate complex technical findings.

Nice to have

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

Culture & Benefits

  • Hybrid flexibility with a three-day-per-week office model.
  • Equity compensation in addition to base salary.
  • Comprehensive benefits and generous perks.
  • Work focused on accelerating access to new medicines and improving patient outcomes.

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