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 research and hardware validation arm of WHOOP. Our work focuses on conducting research to validate next-gen features and technology.
As a Research Scientist II, you will own the design and execution of health and wellness research, with an emphasis on distributed and decentralized methodologies. Collaborating with the WHOOP Labs team, you will lead end-to-end studies, leveraging remote data collection tools.
RESPONSIBILITIES:
Lead custom survey development, protocol design, refinement, and execution for studies conducted in a distributed environment.
Train other WHOOP Labs research coordinators to ensure high quality and consistent study execution across sessions
Support survey development efforts utilizing internal research tool and through partnerships with external vendors, when applicable
Work collaboratively with WHOOP Labs Research Operations to collect, scope, and schedule study requests
Build and maintain strong relationships with other stakeholder teams whose work is supported by your projects such as Data Science, Clinical, Hardware, and Signal Processing
Manage the use and upkeep of data collection equipment and support the day-to-day operations of the Lab including data quality monitoring and device/platform troubleshooting
Provide a best-in-class experience to study participants, following best practices for human subjects research and creating a welcoming and inclusive environment
Serve as an ambassador for WHOOP Labs and WHOOP brand
QUALIFICATIONS:
Bachelor's Degree in biotech, HCI, psychology, statistics/analytics, or similar.
2+ Experience working in user experience research, market research, consumer health product research and/or a related field with a strong focus on mixed methods.
Proven skills with survey design, quantitative analysis, and experimental designs.
Familiarity with analytical or statistical evaluation of quantitative survey data sets is nice-to-have
Strong technological background and working knowledge of data management systems including the Google Suite
Strong interpersonal communication skills and ability to translate participant study expectations in a clear, detailed, and friendly manner via written communication and instruction
Strong attention to detail
Professional, timely, organized
Interest in leveraging AI to streamline research processes and deliverables
WHOOP Boston, Massachusetts, USA Office
1 Kenmore Sq, Boston, MA, United States, 02215
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