Design and evaluate real-world interventions (e.g., cluster or step-wedge trials, policy pilots, network interventions) to improve workforce wellbeing, safety culture, and trust across Toyota and partner organizations.
Integrate ethnographic and behavioral data into computational representations of social systems, using methods such as causal inference, social network analysis, or agent-based modeling.
Model diffusion and adoption dynamics—how culture, norms, and trust propagate through teams and organizations.
Collaborate with machine learning and AI researchers to embed cultural and organizational constructs in the Toyota People System’s architecture.
Develop ethical, evidence-based measurement frameworks for cultural health, burnout resilience, and collective intelligence.
Translate findings into action through technical reports, peer-reviewed publications, and design recommendations that inform human-centered AI products and organizational strategies.
Advance responsible research practices, including IRB and open-science principles, for human-subjects work in organizational settings.
Requirements
Ph.D. or equivalent experience in Anthropology, Behavioral or Social Science, Implementation Science, or related fields.
Demonstrated expertise in applied systems research, including designing and evaluating interventions in complex, real-world environments.
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