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Whoop is hiring a Senior Researcher, WHOOP Labs Doha

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Job Description


RESPONSIBILITIES:
  • Own and lead multiple physiology and exercise research initiatives for WHOOP Labs Doha as part of multi-site data collection efforts.
  • Execute study sessions with participants and provide in-the-moment movement coaching and support as needed to ensure successful protocol compliance.
  • Collaborate closely with the WHOOP Labs Boston team to understand project goals, technical constraints, and protocol nuances.
  • Own localization of protocols for execution in Doha including any required changes to activities, session structure, or sample.
  • Develop and maintain clear research plans, workflows, and deliverables, adapting to evolving priorities and constraints.
  • Manage research programs and dependencies using project management tools, ensuring visibility, accountability, and on-time delivery.
  • Collaborate with other members of the WHOOP Labs Doha team such as Recruitment, Lab Management, and other Researchers to ensure successful end-to-end study delivery.
  • Provide best-in-class customer service to WHOOP Labs Doha visitors.
  • Communicate research updates and findings clearly and confidently, translating complex insights into recommendations that inform decision-making.

  • QUALIFICATIONS:
  • Bachelor’s degree or professional experience in a relevant field such as research & development, human subjects research, engineering, physiology, or a related discipline.
  • 2+ years of experience conducting research in a physiology, performance science, or similar environment. Experience conducting AMR, VO2 Max, strength assessment, or similar protocols desired.
  • Experience applying research methods relevant to physiology such as coaching on specific exercises / movements, leading group activities, or sports coaching.
  • Strong project and program management skills, with comfort using tools such as Jira or similar planning frameworks.
  • Ability to manage multiple concurrent research initiatives and operate effectively in ambiguous, fast-paced environments.
  • Excitement to work in a high-energy, fast-paced startup environment
  • Fluency in verbal and written English, WHOOP’s working language
  • Comfort communicating with Doha locals in English and Arabic

  • Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

    WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

    The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.

    At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.

    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

    These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

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    Salary Information

    Salary: $120,000 - $150,000

    🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.

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