Minimum qualifications:- Bachelor's degree in Human Factors, Cognitive Neuroscience, Human-Computer Interaction (HCI), a related discipline, or equivalent practical experience.
- 6 years of experience with research methods (e.g., usability studies, contextual inquiries, interviews) in an applied research setting.
- Experience with research methods (e.g., usability studies, contextual inquiries, interviews) in an applied research setting.
- Experience with programming languages (e.g., R, Python) and quantitative data analysis.
Preferred qualifications:- Master's degree or PhD in Human Factors, Cognitive Neuroscience, HCI, or related field.
- Experience conducting UX or human factors research on hardware or wearable products, including troubleshooting physical setups.
- Experience publishing scientific research in academic journals or peer-reviewed conferences.
- Experience translating biometric and ergonomic data into actionable design recommendations.
About the jobAs a Human Factors Researcher on the Watches team, you will join a supportive, collaborative, and highly successful UX team that has launched over ten hardware products. In this role, you will ensure physical interactions with wearable devices are effortless and comfortable. You will collaborate with cross-functional teams to design and moderate experiments, assess biometric and ergonomic responses, and analyze tactile, visual, auditory, and haptic stimuli. If you are a quantitative researcher with strong programming skills, a passion for academia, and a drive to build better products together, we want to hear from you.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $159000 - $231000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities- Collaborate with cross-functional teams to understand human response to tactile, visual, auditory, and haptic stimuli.
- Assess biometric and ergonomic responses to various wearable devices.
- Moderate experiments and interact directly with experimental participants.
- Visualize experimental results to cross-functional stakeholders.
- Advocate for users by recommending novel hardware solutions based on data-driven research methodologies.
