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Digital Humanities / Social Science Developer
Stanford University Libraries
Stanford, CA

**Description**  
  
The Center for Interdisciplinary Research (CIDR), a unit of Stanford
University Libraries (SUL), provides subject and technology expertise,
software development, digital resources, and research services to students,
faculty, and staff in support of the University's academic mission. Due to the
growing demand by Stanford faculty for software development and integration in
the humanities and social sciences, SUL is seeking an experienced and
innovative developer for CIDR.

  
CIDR combines decades of Library experience, expertise, and activity in
support of computational social science, digital humanities, and related
research and teaching in the Stanford community. CIDR collaborates with
individual faculty and centers/departments like the Center for Spatial and
Textual Analysis (CESTA), the Stanford Humanities Center, the Center for
Computational Social Science, and the Institute for Research in the Social
Sciences (IRiSS), where digital research is actively underway. CIDR is also a
hub for collaboration and communication amongst digital humanist and social
science scholars, library curators and professional developers, promoting a
sense of shared purpose in the Stanford environment.

  
We are seeking a leader and innovator in the development of world-class
technologies in support of interdisciplinary digital research. The successful
candidate must have a deep understanding of scholarship in the humanities
and/or social sciences. S/he will consult with faculty on scholarly projects
to identify technical approaches, processes and tools; evaluate and integrate
existing software tools for use in the humanities and social sciences; as well
as design and implement new solutions. The candidate should
have both a broad and deep understanding of current the state of the art in
digital humanities and/or computational social science, such as historical
GIS, text analysis, natural language processing event modeling, large dataset
management and transformation, spatial analysis, high performance computing
concepts, or network analysis.

  
The CIDR Developer will join a distinguished and widely-recognized team of
software developers and academic technologists with expertise in the digital
humanities and computational social sciences. In addition
to working directly with faculty, s/he will collaborate closely with library
staff and other library technology organizations to build innovative,
sophisticated, sustainable, and generalizable tools and infrastructure to
support path-breaking digital research at Stanford and beyond.

  
**Responsibilities**  
  
●
Consult with and advise faculty to provide project definition and analysis,
including defining project scope, requirements and specifications, and project
design. Recommend and assist with the integration and use of technology in the
projects.

  
●
Provide strong technical leadership and project management for CIDR software
projects. Coordinate development resources to support new and existing
projects in a sustainable fashion. Coordinate functional specifications and
programming efforts, including code specification and review, dependencies and
adherence to standards.

  
●
Design and develop state-of-the-art and reusable code, infrastructure, methods
and processes for the support of computational social science and digital
humanities.

  
●
Provide ongoing technology leadership and support for humanities and social
science digital research projects. Support may include the evaluation and
integration of existing tools, as well as the development of new applications.
These applications may address needs related to digital content creation,
content storage, content discovery, text analysis, data visualization, and the
manipulation and analysis of data and other digital media.

  
●
Promote and represent CIDR, improving the visibility of its program, its
standing, and its reputation across campus and beyond. Liaise with peers at
other academic institutions and in industry, seek and develop funding
opportunities, publish and present at professional
conferences. Review professional literature; participate in
conferences, discussion groups, and other forums to stay abreast of new
methodologies and practices relevant to the digital humanities and
computational social sciences.

  
Qualifications

  
●
Master's degree in a humanities or social science discipline, computer
science, or the equivalent in professional experience, plus a minimum of five
years' experience using technology in humanities and/or social science
scholarship. A Ph.D. degree in a humanities or social science discipline
highly desirable.

  
●
Demonstrated experience leading software development projects to successful
completion, from conception through implementation and deployment.

  
●
Demonstrated expertise in one or more of the following areas: natural language
processing, text analysis, data-mining, machine learning, spatial analysis,
network analysis, data modeling, and information visualization.

  
●
A proven record of developing robust and sustainable software applications
both independently and as part of a team, from conception through
implementation, including the architectural planning, design, coding, testing,
debugging, and documentation phases of a software development project.

  
●
Experience with relational databases (e.g., PostgreSQL/PostGIS, Oracle, MySQL,
MS-SQL), and software languages (e.g., Javascript, PHP, Python, Ruby/Rails,
Perl). Experience with Linked Data technologies a plus.

  
●
Experience developing dynamic and interactive media, preferably with
experience developing applications for a touch-environment.

  
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Experience developing and integrating tools in an open source environment.

  
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Experience with the integration of digital media into web applications and/or
collaboration systems (e.g., Drupal, Sakai, Canvas, etc.)

  
●
Experience working closely with faculty in an academic setting to create
products that are acknowledged successes.

  
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Familiarity with human/computer interface principles, and experience applying
those principles in programming.

  
●
Familiarity with agile software development practices.

  
●
Excellent verbal and written communication skills.



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