JOB SUMMARY

Under the direction of the Crash Coding Supervisor at CTSRC, the successful candidate(s) will assist in motor vehicle crash report review, validation, quality assurance, and integration efforts, with the ultimate goal of aiding the advancement of the State’s data-driven safety analysis capabilities. This work requires great attention to detail and performing data quality and assurance checks. This is an entry-level position and will not require any advanced data manipulation or analysis. Candidates must be reliable, dependable, and responsible. Employees will be required to keep up with scheduled training, communications, and documentation provided by your supervisor via Microsoft Teams and/or email, and to complete necessary data quality corrections. Successful candidates will be trained on how to perform all job functions, as this is an entry-level position at CTSRC.

The Connecticut Transportation Safety Research Center (CTSRC) is part of the Connecticut Transportation Institute (CTI), established at the University of Connecticut in 1974, and operates within the College of Engineering. CTI’s mission is to conduct integrated multidisciplinary research, education, and related services that promote safety and efficiency in multi-modal passenger and freight transportation systems and, in turn, enhance livable communities, sustainable economies, and the environment. CTI brings together a critical mass of transportation faculty and research talent at the University of Connecticut, the top public research institution in New England.

DUTIES AND RESPONSIBILITIES

• Performing data entry and quality control checks of motor vehicle crash data received from police departments.
• Use custom software and mapping tools to assist in data collection.
• Provide feedback on common errors and inaccuracies within the crash data received.

MINIMUM QUALIFICATIONS

1. The position requires a B.A. or B.S. with no post-degree experience or equivalent specialized training and experience in a data entry or office setting.
2. Proficient skill with basic computer applications (i.e., email, Microsoft products, Google Maps, web browser).
3. Demonstrated past experience of working with maps, GPS data, transportation networks, and spatial information.

PREFERRED QUALIFICATIONS

1. Familiarity with ESRI GIS tools, or open source (QGIS) mapping/GIS tools.
2. Experience with law enforcement, engineering, data analytics, or a position in an academic setting.

APPOINTMENT TERMS

This is a part-time, 12-month position that may be renewed annually based on funding availability and performance. The schedule will be flexible with a commitment to a minimum of 20 hours/week, with the ability to work up to 30 hours per week. The University offers a competitive salary, outstanding benefits (health, dental, and retirement) https://hr.uconn.edu/employee-benefits-overview/, including employee and dependent tuition waivers at UConn, and a highly desirable work environment. This position pays $25-$28 per hour, depending on experience. Other rights, terms, and conditions of employment are contained in the collective bargaining agreement between the University of Connecticut and the University of Connecticut AAUP—these, as well as the UConn tuition waiver for dependents and spouses.

TERMS AND CONDITIONS OF EMPLOYMENT

Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.

TO APPLY

Please apply online at https://hr.uconn.edu/jobs, Staff Positions, Search #499224 to upload a resume, cover letter, and contact information for three (3) professional references.

This job posting is scheduled to be removed at 11:55 p.m. Eastern time on September 30, 2025.

All employees are subject to adherence to the State Code of Ethics which may be found at https://portal.ct.gov/Ethics/Statutes-and-Regulations.

All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community.

The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce.  The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner.  This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all.  We strongly respect each individual employee’s unique experiences and perspectives and encourage all members of the community to do the same.  All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

The University of Connecticut is an AA/EEO Employer.