315 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Virginia Tech in United States
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, graphs, and analyses for the purpose of ensuring data integrity, quality control and providing data to management in the Office of Sponsored Programs. The position generates, reviews, and reconciles a
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Appointment Type Regular Salary Information $44,000 - $47,000 Hours per week 40 Review Date 01/07/2026 Additional Information The successful candidate will be required to have a criminal conviction check. About
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Appointment Type Regular Salary Information $40,000-$46,000 Hours per week 40 Review Date January 7, 2026 Additional Information This position is not eligible for visa sponsorship. Applicants must be authorized
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{lPayScaleID} Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Commensurate with experience Hours per week 40 Review Date November 30, 2025 Additional Information
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hiring; fixed asset management; data collection and analysis; and preparation of ad hoc financial reports. The position also provides general financial and administrative support as assigned and works
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for developer portal customization Overtime Status Exempt: Not eligible for overtime Appointment Type Regular Salary Information $81,565 - $98,000 Hours per week 40 Review Date 1/5/2026 Additional Information
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at the AREC. • Computer skills of the level necessary to facilitate record keeping and data management as required for management of the research farm. • Must have a valid driver's license, good driving record
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achieves these goals by translating findings from user research into data-based insights and actionable recommendations across TLOS’s four mission-focused areas: instructional tools and environments, faculty
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an educational environment consistent with the Virginia Tech Principles of Community. Names and contact information for three references. Overtime Status Exempt: Not eligible for overtime Appointment Type
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, fluorescence in situ hybridization, and bioinformatics. Preferred Qualifications Molecular biology and genetics laboratory experience; web computer skills; ability to learn new techniques and procedures