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CASTL Early Childhood Research Scientist

The School of Education and Human Development at the University of Virginia seeks an Early Childhood Research Scientist at the Center for Advanced Study of Teaching and Learning (CASTL). Working with the Preschool Development Grant Birth-5 (PDG B-5) and the Virginia Kindergarten Readiness Program (VKRP), we are looking for applicants with an analytic focus to leverage and disseminate data related to early childhood education access, quality, equity, and school readiness skills. This position will assist in analysis and reporting needs as well as using data for systems improvements to help our teams offer high-quality and equitable birth-to-five experiences for children across Virginia.

 

Senior IT Project Manager for Enterprise-Level Web-Based Application Development

The Center for Advanced Study of Teaching and Learning (CASTL) at the University of Virginia School of Education and Human Development seeks to hire a Senior IT Project Manager for Enterprise-Level Web-Based Application Development. The incumbent will work with Principal Investigators, external consultants, and a small team of .Net and Angular software engineers to support and guide the design and implementation of an enterprise-level integrated web-based application. The application will draw from existing web-based applications that currently serve a variety of stakeholders focused on improving educational outcomes for young children in Virginia.

Software Engineer and Web Operations Lead

Early childhood teams at the University of Virginia (UVA) are seeking two FT people to support front and back-end upgrades to maintain state-level data systems, including the following activities: maintain and upgrade website operations (e.g., on-prem to cloud migration, load testing, etc.); collaborate with an external team of Senior Full Stack Developers to grow the projects in all aspects of the software development lifecycle: architecture/design, implementation, unit testing, release management, training, user support and knowledge transfer.

Data Visualization Specialist for Early Childhood Systems

Early childhood-focused teams at the University of Virginia (UVA) are seeking a team member to assist in data analysis and reporting needs and use data for systems improvements to help our team offer high-quality and equitable birth-to-five experiences for children across Virginia.

Early Childhood Mental Health Consultation Data Collector

The Center for Advanced Study of Teaching and Learning (CASTL) at the University of Virginia is looking for part-time data collectors to help us evaluate new Early Childhood Mental Health Consultation (ECMHC) services being offered to teachers and families of young children ages 3-5. Data collectors will primarily be responsible for conducting observations in preschool classrooms in the following areas: City of Richmond, Goochland County, Hanover County, Henrico County, New Kent County, Powhatan County, Chesterfield County, Charles City, and City of Colonial Heights. Work activities will be intermittent but will generally require up to an estimated 25 hours/week during four 3- to 4-week data collection windows in the fall of 2021 (November – December), winter 2022 (approximately February – March), spring of 2022 (approximately May), and summer of 2022 (late July – August).

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The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person’s perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.