Senior Human Factors Researcher, Design Research

Team: Machine Learning & Research

Location: Boston, MA

Workplace Type: onsite

RESPONSIBILITIES:

Own end-to-end design research for hardware programs, including early-stage requirements generation, color/material/finish evaluation, prototype exploration, and competitive benchmarking

Design, execute, and synthesize usability and human factors studies focused on physical product interactions across the product lifecycle

Lead reporting and communication of research insights with a focus on hardware design, usability, and member experience

Support research protocol design and evaluation of software experiences, directional prototypes, and emerging product concepts

Prioritize research opportunities and findings in a cross-functional environment, partnering closely with Industrial Design, Engineering, Product Management, and other stakeholders

Proactively identify and conduct research that informs decision-making for both individual contributors and leadership teams

Contribute to research initiatives across a variety of product spaces, including applied research, exploratory concepts, and product validation efforts

QUALIFICATIONS:

Bachelor’s or Master’s degree in Industrial Design, User Experience, Human-Computer Interaction (HCI), Human Factors, Psychology, Design Research, or a related field

3–5 years of experience conducting product research in an applied research, human factors, usability, or user-centered design environment

Experience utilizing mixed-methods research approaches for consumer technology, wearable devices, health products, or related experiences

Demonstrated ability to independently design, execute, and synthesize research studies that drive product and design decisions

Strong communication and storytelling skills, with experience presenting insights to cross-functional stakeholders and leadership

Working knowledge of research operations, data management systems, and productivity tools including Google Workspace

Strong attention to detail, organizational skills, and ability to manage multiple projects in a fast-paced environment

Experience working directly with study participants or customers in research, service, or participant-facing environments is a plus

Professional, collaborative, and proactive approach to cross-functional partnership

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.

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.