Data Analysis and Visualization Librarian

Pay Grade: 30E - 31E

Applications Close: Open until filled. Application review begins May 18, 2026.

Context of Job:

The University of Delaware Library, Museums and Press inspires the intellectual, scholarly and creative achievement of our community. We are strongly committed to diversity within our community and fostering safe, welcoming, and inclusive spaces and opportunities where everyone has an equal opportunity to learn, create, and grow. We welcome those who have demonstrated a commitment to upholding the values of equity, diversity, and inclusion and will assist us to expand our capacity for diversity in the broadest sense. We collaborate with strategic campus partners to achieve these priorities, as well as with national professional organizations.

The Data Analysis and Visualization Librarian supports researchers through expert consultation, instruction, and outreach for a variety of computational methods. Under the general supervision of the Head, Research Data and Design Commons, this position will collaborate with groups across campus to advance data literacy, promote ethical and effective data practices, and contribute to emerging technology-based research support initiatives. The incumbent will provide vision and support for the new Data Analysis and Visualization Lab, will supervise a graduate statistical specialist, and will help shape future services and technologies offered by Morris Library.

This position is part of the librarian career ladder governed by the University of Delaware Library Rank and Promotion System that guides professional development and advancement. The Rank and Promotion System is a rigorous, peer-reviewed, 4-tier system that assigns rank to the individual rather than the position. The four ranks parallel to the faculty system in affirmation of the significant contributions, service, and scholarship of librarians in the academic community. The four ranks are: Assistant Librarian (pay grade 29E with 0 – 3 years relevant experience), Senior Assistant Librarian (pay grade 30E with 3 – 8 years relevant experience), Associate Librarian (pay grade 31E with 8 + years relevant experience), and Librarian (pay grade 32E).

This role is part of the Research Data and Design Commons, a new department in the UD Library, Museums and Press that provides support for a range of technology-based research services. These include data services, institutional repositories, and research communication through various creative technologies. Our staff also collaborate with colleagues across the library to ensure effective outreach, instruction, and technical infrastructure for these services. The person in this role is expected to collaborate regularly with our library IT services, our Research and Engagement Department, and our Student Success and Curriculum Partnerships Department, and a host of external partners.

MAJOR RESPONSIBILITIES:

• Provide expert consultations and deliver training sessions on research data analysis and visualization topics to guide university researchers (e.g. analytical and computational methods, visualization design best practices, software and tools, etc.).
• Provide strategic oversight for the Data Analysis and Visualization Lab. Continually assess campus need and recommend changes to software and hardware configurations. Ensure system readiness and coordinate with IT staff to maintain Lab infrastructure.
• Support researchers with finding and preparing datasets for analysis. Collaborate with other library staff to find and assemble datasets as needed.
• Maintain and continually update a curated catalog of analysis and visualization resources that support best practices in data management.
• Advocate for the ethical use of research data, including topics of academic misconduct, societal impacts, and AI applications.
• Identify opportunities to develop and implement new services that advance the mission of the Research Data and Design Commons (RDDC).
• Develop outreach pathways with faculty departments and UD groups with a focus on data-driven research. Participate in relevant committees and campus initiatives.
• Supervise one graduate student statistical specialist and provide mentoring and support for growth and professional development.

• Work closely with RDDC colleagues to maintain accurate and engaging web resources, manage the department’s online presence, and develop outreach strategies to increase awareness and usage of services.
• Collaborate with liaison librarians, IT staff, and the Research Office to support campus-wide data initiatives.
• Provide guidance and support to units involved in research and data governance.
• Stay informed on emerging trends in data management, open science, and scholarly communication, as well as evolving grant requirements for research data.

APPOINTMENT:

• This position will be filled at one of two levels depending on candidate experience.
• Appointment in rank based on relevant professional experience (Senior Assistant Librarian, pay grade 30E; or Associate Librarian, pay grade 31E). This position is part of the librarian career ladder governed by the University of Delaware Library Rank and Promotion System which guides professional development and advancement.
• The level of consideration and associated responsibilities will be confirmed prior to interview scheduling.

QUALIFICATIONS:

• Master's degree in Library Science or advanced degree in a relevant discipline and a minimum of 3 years of professional experience
• Demonstrated expertise in data visualization, analysis, preparation, and management.
• Demonstrated experience in a research programming language such as R or Python.
• Familiarity with technical environments or analytics labs
• Experience with a variety of qualitative and quantitative analytical methods.
• Familiarity with relevant issues around data sharing (e.g., FAIR principles, data ethics, funder requirements, and intellectual property, as applicable).
• Ability to clearly explain and teach complex ideas, engaging with diverse audiences through multiple instructional formats and settings.
• Strong communication, project management, and collaboration skills
• Ability to thrive in a dynamic environment where responsibilities may shift based on organizational needs.
• Commitment to fostering a diverse educational environment and workplace and an ability to work effectively with a diverse faculty, staff, and student population.

Preferred:

• Working knowledge of NVivo, Stata, and Matlab software
• Experience supporting researchers with complex computational tools and ideas
• Experience running or supporting a computer lab or digital scholarship center
• Previous supervisory experience