Data Entry Coordinator IV
- Rochester, United States
- Senior Level
- Posted
As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.
Job Location (Full Address): 220 Hutchison Rd, Rochester, New York, United States of America, 14620 Opening: Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 400171 Div. Comparative Medicine M&D Work Shift: UR - Day (United States of America) Range: UR URG 105 H Compensation Range: $20.34 - $28.51 The referenced pay range represents the minimum and maximum compensation for this job.
Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.
Responsibilities: Provide comprehensive support for departmental data management including oversight of Topaz, a laboratory animal research software management program which stores the animal census, billing and Veterinary Management System (VMS).
Develop, implement and support electronic sick animal reporting, medical record management, data entry, database maintenance, database training and system optimization to improve clinical documentation, data accuracy, and operational efficiency for the Department of Comparative Medicine (DCM) and vivarium staff.
Provide user support and troubleshooting, management of database requests, and assistance with analyzing and resolving issues related to data and system functionality. Maintain accurate and compliant records in accordance with applicable regulatory and accreditation requirements, including the Animal Welfare Act, NIH guidelines, New York State Department of Health regulations, and AAALAC International standards.
Essential Functions: Develop and deliver Veterinary Management System (VMS) training materials for DCM staff and Vivarium technicians, providing technical training to existing staff and onboarding training to new staff including hands-on technical support. Collaborate with DCM veterinarians, technicians and senior management staff to develop and modify VMS forms and workflows.
Review and analyze VMS data for accuracy, completeness, and consistency; correct data discrepancies and ensure timely data entry into Topaz Elements. Process DCM billing transactions and develop VMS forms, queries, and reports to support clinical operations and data management. Perform weekly scanning of all animal cages for accurate animal census data collection.
Collect, verify, and enter data of all animal census activation and deactivations entries for about 19,000 cage census into Topaz Elements system. Use data to process census activity, audit and generate the per diem income. Process all researchers requests for Topaz Census cage cards. Develop, design, and manage electronic medical records using Topaz VMS in collaboration with DCM veterinary staff for all species.
Enter and maintain regulated animal records and provide technical support to DCM and vivarium technical staff. Maintain medical records as per regulatory compliance requirements. Management of all Animal Resource forms/request for following UCAR and departmental policies to be compliant with Animal Welfare Act and regulations, New York State DOH, PHS policy, and AAALACi accreditation standards.
Other projects and job duties as assigned. Minimum Education & Experience: Associate's degree required. Or equivalent combination of education and experience. 1 year of experience working with a relational database system preferred. Knowledge, Skills & Abilities: Ability to learn new technologies to perform data entry, create queries, and reports required. Strong attention to detail required.
Strong time-management, data analysis, and organizational skills required. Proficient in Microsoft Office applications required. Excellent communication, including written communication, skills required.
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