The Applied Research group is seeking a Crash Data Analyst to support the statistical and data analysis needs of cutting-edge mobility safety research.
Requirements
- Proficiency in working with traffic safety databases and data analysis tools (e.g., R, Python, or similar)
- Computer skills for scientific and technical applications
Responsibilities
- Lead the analysis of traffic safety databases (e.g., CISS, CRSS, NASS, FARS) to provide data-driven guidance for research priorities, test matrix development, and translate meaningful insights for mobility research and vehicle development testing
- Conduct and mentor others in statistical analyses (e.g., descriptive statistics, hypothesis testing, regression modeling, ANOVA) to support experimental and engineering research activities
- Provide specialized knowledge in the development and use of quantitative and qualitative techniques
- Support technology scans to connect findings of crash data with potential countermeasures rooted in mobility research
- Interpret, critically review, and communicate research outcomes to engineers, project managers, and other stakeholders
- Develop original solutions for complex problems or issues in mobility research and vehicle development testing
- Write research papers and technical reports
Other
- PhD or Masters in engineering, data science, or appropriate comparable discipline
- Minimum 5 years of experience in crash data analysis or transportation safety research within academic, industry, or regulatory settings
- Strong communication skills
- Proficiency in technical writing
- Proficiency in technical presentations
