Hybrid Staff Research Scientist, Culture & Systems Dynamics

at Tri-global Solutions Group Inc.

• Job title: Staff Research Scientist, Culture & Systems Dynamics
• Job type: Full Time
• Experience level: Lead
• Salary: $208,000 - $312,000 per year
• Degree requirement: Postgraduate Degree
• Tech skills: Python
• Location requirements: Hybrid, Los Altos, United States

About the role

• Staff Research Scientist leading culture and systems dynamics research at Toyota Research Institute. Developing AI-driven interventions for improving social dynamics and organizational performance.

Responsibilities

• 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.
• Experience integrating qualitative and quantitative methods (ethnography, surveys, administrative data, causal modeling).
• Proven ability to conceptualize and measure system-level outcomes (e.g., culture change, burnout reduction, safety climate, equitable access).
• Strong analytical and computational skills (e.g., R, Python, simulation modeling, causal inference).
• Experience leading multi-stakeholder, cross-functional research programs.

Benefits

• medical, dental, and vision insurance
• 401(k) eligibility
• paid time off benefits (including vacation, sick time, and parental leave)
• annual cash bonus structure