Senior/Staff Safety Research Engineer, Crash and Injury Modeling

In this role, you will:

• Lead data analysis of various crash data sources including naturalistic driving data and crash databases to establish road user safety benchmarks
• Lead the development of collision injury modeling using empirical, testing, and other data sources to inform the evaluation of Zoox autonomous driving safety performancesImprove our safety risk assessments methodology and data sources. 
• Contribute to the development and evolution of the Safety Case of Zoox technology, in close collaboration with cross-functional teams including Systems Engineers, Software and Hardware Engineering, Safety Strategy and Operations, Vehicle Engineering, Policy, Legal, etc.

Qualifications

• M.S. or higher degree in an Engineering or Science discipline with a focus in biomechanical engineering, injury epidemiology, mechanical engineering, statistics or similar.
• Proficiency in quantitative analysis/modeling and relevant tools
• Have the ability to use Python to interface with Zoox-internal driving- and simulation data sources
• 5+ years relevant experiences in analyzing automotive crash and naturalistic databases
• Collaborative team player with strong written and verbal communication skills

Bonus Qualifications

• Ph.D. in an Engineering or Science discipline with a Data Science or Statistics focus
• 7+ years of relevant work experience related to traffic conflicts, naturalistic driving data analysis, and/or injury epidemiology
• Publications in the field of vehicle/traffic safety research and collision epidemiology