New York University Libraries is seeking a tenure-track faculty librarian to 
support the needs of data-intensive research and teaching across a wide range 
of social sciences, humanities, and sciences disciplines at NYU. This 
individual works as part of a team to grow and sustain a rapidly evolving set 
of services that supports researchers across the full data lifecycle, including 
data finding and access; statistical, geospatial, qualitative, and text data 
analysis training and consultation; and data management, preservation, and 
publication.  

The Data Services Librarian plays a key role in building rich data collections 
for the libraries, working in close collaboration with other specialists to 
select, acquire, and manage tabular, text-based, and data materials to support 
campus research and scholarship in the social sciences and humanities. This 
person works in tandem with technologists, metadata architects, and developers 
within NYU Libraries to maintain and improve systems for description, storage, 
discovery, and access to tabular, spatial, and text-corpus data.

This position works to promulgate awareness of our resources and services among 
faculty and students through outreach activities and in partnership with other 
providers. The incumbent works closely with colleagues in Data Services and the 
Librarian for Geospatial Information Systems to deliver data-focused 
instruction, reference, and consultation activities. Depending upon the 
background of the candidate, this person may also serve as liaison librarian to 
one or more programs or departments at the University, selecting materials and 
providing services to support the research and teaching of faculty, graduate, 
and undergraduate students in said areas.

The Data Services Librarian participates in library-wide committees, 
activities, and special projects, especially those involving new technologies 
and data. The incumbent will develop and maintain awareness of data-centered 
initiatives across the sciences, attending professional meetings, workshops and 
conferences for training and continuing professional development. The Data 
Services Librarian is based in the NYU Data Services, a joint service of the 
NYU Libraries and NYU Research Technology. This position reports to the Head of 
Specialized Research Services and Data Services in the Collections and Research 
Services Division, and operates in close coordination with the Digital 
Scholarship Services and the Digital Library Technology Services group.

At the Division of Libraries, we are proud of our organizational culture and we 
are committed to building and sustaining a diverse,inclusive, and equitable 
organization that supports a sense of belonging for the staff and communities 
we serve. For more about our values, see 
http://library.nyu.edu/about/general/values/

 

Qualifications

Required:

Minimum one graduate degree (master’s level or higher) for consideration.  A 
second graduate degree will be required for tenure review. One of the two 
graduate degrees must be an ALA-accredited MLS or equivalent.
Academic or professional experience in a social sciences field like politics, 
sociology, economics, or another field utilizing quantitative methodologies.
Basic knowledge of public and proprietary resources for national and 
international numeric data.
Basic knowledge of IT development, programming and/or coding/scripting.
Ability to work effectively with patrons and colleagues in a collaborative 
environment.
Reference/consultation, teaching, and/or outreach experience in an academic 
library.
Excellent oral, written, and interpersonal communications skills.
Strong public service orientation.

 

Preferred:

 

Experience cleaning and optimizing data in various forms and/or a working 
knowledge of metadata standards related to the description, access, and 
preservation of numeric data, (e.g. Data Documentation Initiative (DDI) 
specification).
Experience acquiring or licensing data resources for a library collection.
Experience working across organizational boundaries and managing complex 
stakeholder groups to move projects forward.
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.
Basic familiarity with software for statistical, geospatial, qualitative, 
and/or text analysis (e.g. SPSS, Stata, R, ArcGIS, Atlas.ti, NVivo, Mallet).

Application Instructions

To ensure consideration, submit your CV and letter of application, including 
the name, address, telephone number, and email of three professional 
references. Applications will be considered until the position is filled.

Salary/Benefits:  
Tenure track faculty status and an attractive benefits package, including five 
weeks annual vacation. Salary is commensurate with experience and background.


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