Senior Human Factors Researcher, Design Research

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.