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2 часа назад

Operations Manager (Healthcare AI)

150 000 - 200 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
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
Operations Manager (Healthcare AI): Manage expert teams and projects to build next-generation data solutions for foundation model development with an accent on healthcare, medical research, and AI integration. Focus on leading cross-domain teams, shaping dataset specifications, and driving high-impact execution in a fast-moving environment.

Location

Location: San Francisco, On-site

Salary

Base salary $150K – $200K with equity and bonus opportunities

Company

hirify.global is an applied research lab curating data solutions for foundation model development, serving leading AI labs with a mission to deliver the best data to power the best models.

What you will do

  • Manage projects and clients to build next-generation data solutions that enhance model capabilities and drive revenue.
  • Lead and coordinate expert teams across healthcare, medicine, and biopharma domains.
  • Design dataset specifications influencing evaluation and improvement of frontier AI models.
  • Own critical projects end-to-end from scoping to delivery in a fast-paced, high-stakes environment.
  • Support operational initiatives across multiple business areas, including building, analyzing, coordinating, and executing.

Requirements

  • Must have 3+ years experience in healthcare, medical research, health technology, or top-tier biopharma.
  • Background in medicine, clinical practice, biomedical research, or healthcare operations.
  • Strong understanding of healthcare data, clinical workflows, and medical research.
  • High agency, drive, and ability to execute with minimal direction in ambiguous environments.
  • Passion for healthcare, AI, and entrepreneurship with interest in emerging technologies.
  • Strong leadership and excellent communication skills.
  • Proficiency in Python and experience with data analysis, clinical research, or AI tools.

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