Apple
User Studies Operations Specialist
$145K–$264K
San Jose, California · Full-time · Posted Oct 30, 2026
- Experience
- 3+ years in research operations, human behavioral/physiological research, or tech-focused lab management.
- Education
- Bachelor’s or Master’s degree in Neuroscience, Cognitive Psychology, Human-Computer Interaction (HCI), Biomedical Engineering, or a related field.
About the job
Drives study execution, vendor strategy, and lab operations for a neuroscience research team, supporting parallel investigations and high-integrity data collection.
What you'll do
- Operationalize study protocols; test hardware and improve processes; administer in-person and pilot studies, including participant recruitment, onboarding, and informed consent.
- Manage research vendors from initial engagement through data delivery and quality assurance; coordinate approvals with legal teams and review boards.
- Contribute to study design and testing methods, and help structure datasets and annotation schemes for algorithm training and evaluation.
What they ask for
- Bachelor’s or Master’s degree in Neuroscience, Cognitive Psychology, Human-Computer Interaction (HCI), Biomedical Engineering, or a related field.
- 3+ years of experience in research operations, human behavioral/physiological research, or tech-focused lab management.
- Demonstrated human research execution expertise involving complex sensing hardware, prototype software, and behavioral observation.
- Experience leveraging AI tools, LLM workflows, or lightweight scripting (e.g., Bash, Python) to automate tasks, logging, or reporting.
Nice to have
- Familiarity with AI/ML principles, algorithmic evaluation pipelines, data annotation, or model validation.
- Experience managing external research vendors, recruitment panels, or contractors; or working with physiological sensing modalities.
Pay
$144,600 and $263,800 USD base salary
Tools
AI tools, LLM workflows, Bash, Python, eye-tracking, EEG, EMG, PPG
AI focus
Uses AI tools and LLM workflows to automate operations; supports dataset annotation and algorithm training and benchmark evaluation, with preferred familiarity in AI/ML and model validation.
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