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2 дня назад

Director/Senior Director, Product - Applied Data Science

245 000 - 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/Senior Director, Product - Applied Data Science (AI/Drug Development): Scaling one-off asset acquisition and diligence analyses into landscape analyses and durable tools with an accent on scientific validity, product strategy, and business impact. Focus on directing cross-functional data science and engineering work, evaluating generalization potential, and identifying AI/ML opportunities in drug asset sourcing and evaluation.

Location: New York City or Boston metro areas with a hybrid model requiring 3 days per week in office. Applicants in the Research Triangle, NC, and San Francisco Bay Area may also be considered. Candidates must reside in these locations or be willing to relocate.

Total compensation: $245,000–$307,000 per year, plus equity, comprehensive benefits, and perks.

Company

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

What you will do

  • Own the strategy for scaling data science work supporting asset acquisition and diligence.
  • Determine which one-off analyses should become exhaustive landscape analyses or engineered, maintained tools.
  • Direct a working team of data scientists and engineers, set the roadmap, and sequence work according to business impact.
  • Partner with Data Science and Business Development to translate scientific findings into scalable capabilities.
  • Guide technical approaches covering statistical validity, pipeline design, and dataset evaluation.
  • Identify and pitch AI opportunities for asset acquisition and diligence, including resourcing and expected business impact.

Requirements

  • 7+ years of experience in data science, applied science, or technical product roles, including responsibility for turning analytical work into a deployed capability.
  • Experience in biotech, pharma, or a related life sciences industry, with a strong understanding of the drug development lifecycle.
  • Fluency in AI/ML evaluation, statistical validity at scale, build-versus-buy decisions, and technical trade-offs.
  • Experience directing or coordinating data science and engineering teams with strong technical credibility.
  • Ability to discuss diligence findings, asset valuation, and scientific risk with senior leaders.
  • Must be based in or willing to relocate to the New York City, Boston, Research Triangle, or San Francisco Bay Area locations.

Culture & Benefits

  • Hybrid work with three days per week in the office.
  • Equity and comprehensive benefits.
  • Generous additional perks.
  • Mission-driven work focused on bringing new medicines to patients faster and more efficiently.

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