Назад
5 дней назад

Senior Researcher (Machine Learning & Research)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Qatar
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR

Senior Researcher (Machine Learning & Research): Executing complex research initiatives for machine learning and sensor validation with an accent on protocol localization and cross-site collaboration. Focus on developing project plans, managing research dependencies, and ensuring methodological consistency across global sites.

Location: On-site in Doha, Qatar

Company

WHOOP is a human performance company that develops wearable technology to optimize health and fitness.

What you will do

  • Localize and execute complex research initiatives for machine learning, sensor validation, and product development.
  • Collaborate with the Boston team to ensure methodological consistency across research sites.
  • Own region-specific research projects and contribute to remote global studies.
  • Develop and maintain project plans, workflows, and deliverables using tools like Jira.
  • Coordinate with Recruitment and Lab Management to ensure end-to-end study delivery.
  • Conduct calibration sessions and provide expert product support to visitors at the Doha facility.

Requirements

  • Bachelor’s degree or professional experience in physiology, biotech, exercise science, or a related discipline.
  • 3-5 years of experience conducting research in exercise, performance, or health environments.
  • Strong project and program management skills with experience in Jira or similar frameworks.
  • Ability to work a flexible schedule, including evenings at least 2 days per week.
  • Fluency in verbal and written English.
  • Comfort communicating with Doha locals in English and Arabic.

Culture & Benefits

  • High-energy, fast-paced startup environment.
  • Opportunity to work in a global research network across multiple sites.
  • Human-centered approach to research and participant engagement.
  • Focus on delivering a best-in-class experience for members and visitors.

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