[Employment] Digital Humanities Technology Specialist

Name: Digital Humanities Technology Specialist
Deadline: Friday, June 14th, 2019, 11:59 pm
Location: NYU

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.

Required Education: Bachelor’s Degree

Preferred Education: Master’s Degree Master’s degree in computer science, data science, engineering or other technical field is strongly preferred. or

Required Experience: 3+ years relevant experience or an equivalent combination of education and experience. Demonstrated experience in supporting information technology, development, programming or coding/scripting.

Preferred Experience: 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: High-level proficiency in at least one scripting language such as Python; experience with Bash (shell scripting), JavaScript, and/or Ruby; knowledge of Unix command line utilities, Git, web server administration, and interaction with APIs and database systems. Experience cleaning and optimizing data in various forms. Excellent written and verbal communication skills.

Preferred Skills, Knowledge and Abilities: Familiarity with Data Services, Digital Humanities, or Geospatial Analysis. Familiarity with digital scholarship tools and methods, including text analysis (natural language processing), web scraping, machine learning. Administration of data infrastructure; including web development (Ruby on Rails, JavaScript) and infrastructure work (shared hosting environment, AWS, Tomcat, Apache/nginx, SSL certificate management, Postgres and MySQL databases, DNS), and several web applications comprising the spatial data infrastructure (geoblacklight, GeoServer, Apache Solr, Phusion Passenger, PostGIS); interest in working on digital library systems.