招聘
Required Skills
Research execution
Quantitative analysis
Project management
At WHOOP, we’re on a mission to unlock human performance. WHOOP empowers members to optimize their performance through a deeper understanding of their bodies and daily lives. WHOOP Labs is the central research organization at WHOOP, supporting both in-person and distributed research across product, R&D, and clinical initiatives.
As the Distributed and Quantitative Research Specialist, you will be a key contributor within WHOOP Labs, supporting the growing demand for surveys, intervention studies, and other remote research initiatives through Digital WHOOP Labs (DWL). This role sits at the intersection of research execution and research operations, with a strong focus on enabling high-quality, scalable studies for stakeholders across WHOOP.
This position reports to a Senior Human Factors Manager and is ideal for someone who enjoys hands-on research execution, stakeholder collaboration, and building rigor into large-scale distributed studies.
This is a W-2, Temporary role through the remainder of 2026, with an hourly pay range of $34 - $36. Candidates must be prepared to work in person at WHOOP Labs in Boston, MA 5 days each week.
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About Whoop

Whoop
Series F+A SaaS-based platform that enables subscribers to create and share media applications, websites, and text communication solutions.
1-50
Employees
Atlanta
Headquarters
$3.6B
Valuation
Reviews
4.1
9 reviews
Work Life Balance
2.1
Compensation
3.0
Culture
3.2
Career
2.4
Management
2.7
45%
Recommend to a Friend
Pros
Great people and coworkers
Excellent team environment and collaboration
Great product quality
Cons
Poor work-life balance
Limited career growth opportunities
Management and leadership issues
Salary Ranges
29 data points
Junior/L3
Mid/L4
Junior/L3 · Observability Analyst
1 reports
$136,500
total / year
Base
$105,000
Stock
-
Bonus
-
$136,500
$136,500
Interview Experience
11 interviews
Difficulty
2.9
/ 5
Duration
14-28 weeks
Offer Rate
73%
Experience
Positive 73%
Neutral 0%
Negative 27%
Interview Process
1
Application Review
2
Online Assessment
3
Technical Interview
4
Behavioral Interview
5
Final Round/Onsite
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Take-Home Project
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