The Digital Humanities Technology Specialist is the DevOps engineer and technical developer within NYU IT Research Technology and NYU Libraries Specialized Research Services, a group that encompasses Data Services (DS) and Digital Scholarship Services (DSS). This Specialist will work alongside IT staff, librarians and researchers to plan and develop cutting edge research infrastructure that will advance the state of humanities and social science scholarship. This position builds capacity for emerging scholarly research environments, supports specialized repository development and growth, and works in concert with the Digital Library Technology Services group and NYU Research Technology to investigate and implement solutions for machine access and delivery of digital library collections of interest to scholars.
Master's Degree Master's degree in computer science, data science, engineering or other technical field is strongly preferred. or
3+ years relevant experience or an equivalent combination of education and experience. Demonstrated experience in supporting information technology, development, programming or coding/scripting.
1+ years demonstrated practical and theoretical experience with digital humanities, data science, statistical analysis, or geospatial methods is preferred and will be considered in lieu of a Master's degree. or 1+ years Experience in an academic environment, preferably in Libraries and/or IT. Comfort working with colleagues and end-users to troubleshoot technical problems. Experience making contributions (code and governance) to open source projects. Experience or familiarity with numeric, text, or spatial datasets and/or customization of common content management systems (Omeka, WordPress) is highly preferred.
Required Skills, Knowledge and Abilities:
Preferred Skills, Knowledge and Abilities:
EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity
Apply at https://uscareers-nyu.icims.com/jobs/5966/digital-humanities-technology-specialist/job?mode=apply&apply=yes&in_iframe=1&hashed=-336115631
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