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Research Technologist

Job in New Haven, New Haven County, Connecticut, 06540, USA
Listing for: Yale Cancer Center
Full Time position
Listed on 2026-06-20
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist, Academic, Research Analyst
Salary/Wage Range or Industry Benchmark: 92000 - 146750 USD Yearly USD 92000.00 146750.00 YEAR
Job Description & How to Apply Below

Salary Range

$92,000.00 - $

Job

Requisition

136001WD

Location

120 High Street, New Haven, Connecticut

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 (e.g., 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
  • Demonstrated understanding of the software development process, including software design, maintainability, and security.
  • Demonstrated ability to learn new technologies and methods quickly, with reference to both scholarly literature and accepted practice.
  • Demonstrated written and verbal communication skills, including conveying technical subjects to non‑technical audiences.
  • Demonstrated ability to offer instruction on a technical subject, especially one‑off or workshop instruction.
  • Demonstrated ability to collaborate within and across organizations.
Preferred

Skills and Abilities
  • Familiarity with the use of machine learning methods in academic research.
  • Demonstrated experience developing asynchronous learning materials such as tutorials, video tutorials, or written guides.
  • Demonstrated experience using or supporting HPC for research.
  • Demonstrated experience providing instruction or research support in an academic research library setting.
Principal Responsibilities
  • Conduct targeted outreach to faculty, students, and research staff to identify emerging needs and connect them with relevant resources and technologies.
  • Provide expert guidance on high‑performance computing (HPC), software development, machine learning, and emerging technologies in research.
  • 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.
  • Design and deliver workshops, tutorials, and instructional sessions on technical topics, including software tools and computational methods.
  • Create accessible learning materials such as written guides, video tutorials, and interactive modules for independent learning.
  • Contribute to…
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