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supporting program operations, bringing a collaborative approach and steady presence to their work. Workplace Requirements: Hybrid position: This position is offered as a hybrid role after a probationary
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to maintain a world-class research program with a history of extramural funding, demonstrate excellence in undergraduate and graduate instruction, and provide transformative leadership to the Department
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collaboration opportunities that contribute to the betterment of our world. BioSciences at Rice is home to undergraduate and doctoral degree programs in Biochemistry & Cell Biology and Ecology & Evolutionary
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organizational skills with keen attention to detail Foundation in problem-solving and data analysis Ability to create an annual giving plan and lead, manage, coach, and motivate a development team to execute
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through in the way we treat each other and the welcome we extend to our visitors. In October 2025, Rice launched an ambitious strategic plan, Momentous. In that plan, Rice University committed to become
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materials, and living electronics, as well as foundational work in synthetic biology. To achieve its mission, RSBI seeks to: Host programming and events that support, enhance, and strengthen the multifaceted
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commissioned police department (RUPD), a student-run Emergency Medical Services (REMS) program, and a comprehensive Emergency Management office. This role reports directly to the Associate Vice President
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Excellence. Position Summary: The Development Coordinator provides comprehensive administrative and program support to a group of individual giving fundraisers on the major gifts team in the Development and
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Excellence. Position Summary: The Assistant Director, Reunion and Volunteer Giving is a member of Rice University's Annual Giving class and program management team and will be responsible for developing
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programming surveys, cleaning and curating survey data, and developing and conducting survey research projects are encouraged to apply. The Kinder Institute for Urban Research aims to improve lives through data