Quantitative User Researcher

Apple is seeking a Quantitative User Researcher to join our team supporting the design and execution of user studies that validate the performance of Apple this role you will partner closely with engineering design research operations and study facilitator teams to design and implement research studies that directly inform product decisions. Your work will directly shape products used by hundreds of millions of people worldwide.

This role operates at the intersection of various disciplines necessitating collaboration with highly technical partners rapid adaptation to new domains and simultaneous management of multiple projects. It demands both scientific expertise and the ability to translate intricate technical requirements into well-designed human subjects research. Success in this role entails translating a deep understanding of how users use cases and user behaviors influence product performance into actionable data that informs product decisions.

Design and implement user studies to quantitatively validate product performance across a broad range of technical domainsnDevelop research roadmaps study protocols measurement frameworks and analysis plans grounded in sound experimental design principlesnEnsure studies are designed and executed with strong methodological rigor applying core principles of study validity including internal external construct criterion and statistical conclusion validity to produce trustworthy generalizable resultsnPartner with cross-functional teams to align on research priorities scope studies and ensure findings translate into product decisionsnAnalyze and interpret quantitative study data delivering clear actionable findings to technical and non-technical stakeholdersnIdentify gaps and opportunities in current research methodologies and proactively propose improvementsnChampion a culture of research rigor and continuous improvement across partner teams

Advanced degree (M.S.) in Biomedical Engineering Human Factors Experimental Psychology HCI or a related field or equivalent practical experiencen5 years industry experience with demonstrated history of designing and executing controlled human subjects studiesnStrong proficiency in statistical analysis (e.g. regression ANOVA)nProficiency with data processing and statistical tools such as R or PythonnExcellent written and verbal communication skills with the ability to present technical findings to diverse audiences

Advanced degree (PhD.) in Biomedical Engineering Human Factors Experimental Psychology HCI or a related field or equivalent practical experiencen3 years industry experience with demonstrated history of designing and executing controlled human subjects studiesnBackground in biometric measurement wearables studies or product performance benchmarkingnAbility to craft compelling audience-tailored presentations that distill complex data into clear narrativesnExperience leveraging AI tools to accelerate study design analysis and insights synthesisnExperience working in cross-functional product development environments alongside engineering and design teams