Overview

Reporting to the Associate Director, Computational Methods and Data, within the department of Data and Research Innovation, the Research Technologist leads the department's investigation into and response to new trends in digital and data-driven research (eg. agentic AI, AR/VR, etc.). This may include providing research consultations and designing and delivering instruction to students, faculty, and staff. In collaboration with Library Information Technology, Yale Information Technology Services, the Yale Center for Research Computing, and research centers across the University, the Research Technology Specialist may also deliver technology solutions to the research community in response to their continual assessment of researcher needs and identification of emerging trends.

The incumbent will participate in the development of a research and learning service model for data-intensive research across disciplines based on current research practices, grounded in student and faculty academic needs, and aligned to Yale Library strategies.

The incumbent will collaborate with other members of Data and Research Innovation to provide research support across the research data lifecycle and contribute to the development of innovative researcher and practitioner support programs, including novel approaches to research consultations, scholarly profiles and research impact, research data support, building community through common research methods and tools, specialized instruction and outreach, and other research support activities. Activities are offered across multiple library locations, but primarily occur at the Franke Family Digital Humanities Lab, Rosenkranz Hall, and Marx Science and Social Science Library.

Yale Library serves a diverse staff, campus, local, and global community and is deeply committed to advancing its goals for equity, inclusion, and accessibility. This commitment is reflected in our mission, strategic directions, staff values, initiatives, and scholarly activity. To support our goals for staff recruitment, retention, and development, Yale Library invites applications from candidates whose philosophies align with these commitments and who have demonstrated success with supporting diversity and inclusion through their work, service, research, and/or teaching.

Required Skills and Abilities

1.Demonstrated understanding of the software development process, including software design, maintainability, and security
2. Demonstrated ability learning new technologies and methods quickly, with reference to both scholarly literature and accepted practice
3.Demonstrated written and verbal communication skills, including conveying technical subjects to non-technical audiences
4.Demonstrated ability offering instruction on a technical subject, especially one-off or workshop instruction
5.Demonstrated ability collaborating within and across organizations

Preferred Skills and Abilities

Principal Responsibilities

1. Conduct targeted outreach to faculty, students, and research staff to identify emerging needs and connect them with relevant resources and technologies.
2. Provide expert guidance on high-performance computing (HPC), software development, machine learning, and emerging technologies in research.
3. In collaboration with other members of Data and Research Innovation, advise researchers on software design, maintainability, and security to ensure robust and sustainable research tools.
4. Design and deliver workshops, tutorials, and instructional sessions on technical topics, including software tools and computational methods.
5. Create accessible learning materials such as written guides, video tutorials, and interactive modules for independent learning.
6. Contribute to the development and documentation of research support infrastructure, collaborating with library and IT staff.
7. Facilitate partnerships across departments, serve as a liaison to campus research computing services, and participate in cross-institutional communities of practice.
8. Stay current with emerging technologies and translate complex technical concepts into accessible formats for diverse audiences, including library staff.

Required Education and Experience

1. Master's degree in an academic field or Library and Information Science and four years of experience in an academic environment, or equivalent combination of education and experience.

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