Data Services Specialist

at Rice University (view profile)
Published September 18, 2023
Location 6100 Main Street, Houston, TX
Category Academic  
Job Type Full-time  
Apply Here
Cover Letter Requirements Required
Education Requirements Master’s degree from an ALA accredited library school and/or advanced degree in relevant academic disciplines
Minimum Compensation in Local Currency US$60,000 minimum plus benefits
Maximum Compensation in Local Currency 70,000
Hourly or Salary? Salary


Special Instructions: Applications received by Wednesday, September 27, 2023 will receive first consideration. All interested applicants should attach a cover letter and a resume in the Supporting Documents section of the application. We suggest the documents be in a PDF format to avoid formatting issues. We will evaluate your application based on your cover letter and resume, so you do not need to fill out the Work History and Education sections of the online application.

Position Summary

The Data Services Specialist leads Fondren Library’s services focused on research data, including the discovery, analysis, visualization, and management of data. The Data Services Specialist conducts consultations, workshops, and other programming and develops data services that support Rice University’s teaching and research mission.

Reporting to the Assistant University Librarian for Digital Scholarship and Organizational Development, the successful candidate builds relationships with faculty, staff, and students, promotes data literacy, and devises strategies to meet emerging needs. They also help to identify and access relevant datasets; assist in developing and implementing policies, practices, and outreach for Fondren Library’s data repository services; and support scholars in working with data across the research lifecycle.

The successful candidate will demonstrate a commitment to collaboration, excellent communication and outreach skills, a keen enthusiasm for learning, outstanding problem-solving skills, and good knowledge of statistics and data analysis methods.

Work Schedule: This position offers 2 days of work from home and 3 days in the office (3 months from the start date).