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Traffic Safety Data Analyst (6256U) - SafeTREC
Westfield State University
San Francisco, CA
Compensation: 150.000 - 200.000
Traffic Safety Data Analyst (6256U) - SafeTREC About Berkeley
At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff.
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Departmental Overview
The Institute of Transportation Studies (ITS) develops leading-edge innovations influencing movement of people and goods and advancing sustainability, economic health, and quality of life at the University of California Berkeley.
Founded in 2000, the mission of the Safe Transportation Research and Education Center (SafeTREC) is to inform decision-making and empower communities to improve roadway safety for all. SafeTREC is part of the University of California, Berkeley, affiliated with the School of Public Health and the Institute of Transportation Studies, with additional partnerships with the Department of City and Regional Planning, Public Policy, and Transportation Engineering. Our research is carried out by researchers and faculty at UC Berkeley with assistance from post-doctoral scholars, research staff, and graduate student researchers.
This position serves in several roles to enhance the Center's research mission, including overseeing student workers in the collection of data and independently conducting data analytics projects and research as determined by the Directors, Principal Investigators, and Senior Researchers. The position requires knowledge of traffic safety concepts, analytical methods, and policy, as well as the ability to systematically monitor and maintain a large data collection effort.
This is a 1-year, 100% FTE contract position with the possibility of extension.
Application Review Date
The First Review Date for this job is: July 29, 2025 - Open Until Filled
Responsibilities
35% Perform data analysis support for tasks on applied research contracts on topics such as safety performance functions, pedestrian and bicyclist road safety management, safety impacts of heavy duty EV vehicles, and crash trend analysis. Tasks may include:
- processing and linking infrastructure, crash, and socioeconomic datasets using R or Python
- implementation of machine learning or clustering algorithms using R, Python, and/or VBA
- performing descriptive data analysis or modeling on crash and infrastructure data
- creating data visualizations, including charts and maps, to effectively communicate results
30% Oversee data collection task for a project on calibrating California-specific safety performance functions from the Highway Safety Manual. Responsibilities include:
- working with technical lead to develop a systematic protocol for collection of the required data elements, including methods for data collection, a spreadsheet template for data entry, and a clear process for data collectors to follow
- recruiting and hiring a small team of undergraduate students assistants with support from senior researchers
- supervising data collection by students of road attribute data using data sources such as satellite and street view imagery
- ensuring quality and consistency of the data collected by implementation of a data validation process
15% Implement innovative engineering and data science approaches to analyzing traffic safety research questions. This could include the application of natural language processing, machine learning, causal inference methodologies in traffic safety research applications.
10% Prepare reports, presentation, manuscripts, and guidance documents, including a summary of the background literature, visualizations, findings, and contextualization of finds. Prepare progress reports for grants/contracts as needed.
5% Participates in workshops, training, and other professional development opportunities.
5% Other duties, as assigned.
Required Qualifications
- Bachelor's degree in related area and / or equivalent experience / training.
- Working knowledge of statistical and traffic safety analytic methods, including the knowledge of how to appropriately utilize multiple datasets together.
- Working skills in statistical software such as R, Python, or related data analysis software necessary to examine and analyze datasets.
- Working knowledge of traffic safety and System System principles and methods to perform professional research tasks and implement project work and deliverables.
- Skills to communicate complex information in a clear and concise manner both verbally and in writing.
- Excellent organizational skills. Ability to work on multiple projects and tasks.
- Master's degree in civil engineering, transportation, city planning, public health or related area and / or equivalent experience / training.
- Working knowledge of geographic information systems techniques using Esri software, Python, and/or R.
For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website.
Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into