User Studies Operations Specialist

At Apple we strive to achieve surprise and delight for every one of our millions of customers around the world. We are looking for a User Studies Operations Specialist to drive study execution vendor strategy and lab operations supporting a multidisciplinary neuroscience research this role you will partner directly with neuroscientists researchers and algorithm engineers to operationalize complex study protocols for multiple investigations in parallel lead external research vendor engagements and facilitate high-integrity data collection for cutting-edge technologies. Our ideal candidate combines hands-on human research experience strong technical proficiency with early stage HW/SW prototypes and a working understanding of AI and algorithmic evaluation workflows.

As a User Study Operations Specialist you will bridge study design and operational execution across multiple parallel investigationsnnPartner with researchers algorithms teams and engineers during protocol design to ensure operational feasibility test hardware and harden processes. nLead end-to-end administration of complex in-person and pilot testing protocols including overseeing participant recruitment onboarding informed consentnWork with legal and review boards to seek approval for research investigationsnManage end to end research vendor relationships including initial vendor contacts for large scale external studies through data delivery and QAnAct as an active contributor to the research team: participate in study design critiques review research papers and optimize testing in structuring datasets and annotation/labeling schemes to support algorithm training and benchmark evaluation.

Bachelors or Masters degree in Neuroscience Cognitive Psychology Human-Computer Interaction (HCI) Biomedical Engineering or a related field.n3 years of experience in research operations human behavioral/physiological research or tech-focused lab expertise in human research execution involving complex sensing hardware prototype software and behavioral leveraging AI tools LLM workflows or lightweight scripting (e.g. Bash Python) to automate operational tasks logging or commitment to participant privacy data security and navigating IRB ethics and legal review resilience: comfortable bringing up early-stage hardware/software prototypes and troubleshooting technical issues in real project management cross-functional communication and interpersonal skills to keep studies on track and put participants at data hygiene and analysis skills (e.g. Python or scripting tools for data validation preprocessing and analysis).

Working familiarity with AI/ML principles algorithmic evaluation pipelines data annotation workflows or model validation track record sourcing vetting and managing external research vendors participant recruitment panels or contractors (SOWs SLAs quality control).nExperience working with physiological sensing modalities (e.g. eye-tracking EEG EMG PPG or motion capture).