Data Management and Curation Consultant

The Data Management and Curation Consultant provides expert guidance to researchers and students on data management activities across the research enterprise at Virginia Tech. This position has responsibility for providing advice on data management planning, data curation, and data sharing. Using best practices and emerging standards, they will design, implement, and evaluate data curation, preservation, and transformation strategies to research data stewarded and preserved by the Library. They will consult with researchers on their data management needs, including research using AI applications, and will provide specialized, scholarly services to research teams seeking federal and private funding. They will also engage in scholarly activities related to these responsibilities.

-A terminal degree in a field related to the job duties, such as a Masters in Library and/or Information Science (MLS, MLIS, MIS, etc) from an ALA-accredited graduate program
-Demonstrated experience in service provision/working with clients
-Coursework or experience using data in a disciplinary research setting, e.g. agriculture, environmental science, etc
-Demonstrated experience in public presentation, oral and written communication
-Problem solving skills and a demonstrated ability to work independently
-Demonstrated experience reading, executing, and troubleshooting code
-Demonstrated experience in any of the following: research data documentation, research data archiving, research data publication, secondary use of research data

-An active research agenda demonstrated through published scholarly work
-Demonstrated experience in working in a collaborative team-based environment
-Demonstrated experience in development and/or delivery of guidance or training to faculty or students
-Demonstrated experience with repository operation and/or administration
-Demonstrated experience in metadata creation and management
-Demonstrated experience in service program planning and development
-Demonstrated experience in data management planning and writing/reviewing of data management plans for funding proposals
-Demonstrated experience in programming, e.g. in Python, R, SQL
-Demonstrated experience with AI, machine learning and/or large language model (LLM) applications
-Coursework or experience using data in an academic research setting

Overtime Status

Exempt: Not eligible for overtime

Regular-Continued Appointment Track/Assistant Professor

$63,000 minimum dependent on qualifications and experience

40

9/16/26

The application package needs to include a resume, cover letter addressing the candidate’s experience with the responsibilities associated with the position, and the required and preferred qualifications, and the names of three(3) references and their contact information.

The successful candidate will be required to have a criminal conviction check.

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.

Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance.  These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.