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WHOOP Labs in Boston seeks a User Experience Researcher II to conduct end-to-end research shaping WHOOP products and member experiences across hardware, software, ML, and emerging tech. You’ll work with Product, Design, ML Research, and Hardware teams to uncover insights that influence decision-making and drive healthspan outcomes.
You will execute mixed-method studies, design research plans, recruit and engage participants, analyze data, and translate findings into actionable recommendations
We are looking for a curious, adaptable researcher who thrives in diverse problem spaces and enjoys learning new methods, tools, and approaches. You will support a wide range of initiatives, from foundational product experiences to exploratory research that informs future innovationsThis role is ideal for someone who is energized by methodological rigor, excited to experiment responsibly with new research approaches, and motivated to help strengthen the foundation of research practice across WHOOP
2+ years of experience conducting user research in product, technology, healthcare, or other customer-focused environments
Experience independently conducting mixed methods research studies, including study design, moderation, analysis, and synthesis
Passion for health, human performance, behavior change, and WHOOP’s mission to unlock human performance and healthspan
Experience using data and evidence to inform decisions, challenge assumptions, and identify opportunities for improvement
Strong communication, and organizational skills, with the ability to translate research findings into actionable insights for diverse audiences
Ability to manage multiple priorities and deliver high-quality work in a fast-paced and evolving environment
Bachelor’s degree or equivalent professional experience in User Experience Research, Human-Computer Interaction, Psychology, Cognitive Science, Anthropology, Sociology, or a related field
Demonstrated ability to build productive relationships and collaborate effectively with cross-functional stakeholders
Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions