The Stanford University Libraries’ Center for Interdisciplinary Research (CIDR) is seeking an innovative, experienced, team-oriented software developer to build sophisticated, sustainable, and generalizable tools and infrastructure in order to support interdisciplinary digital research in the computational social sciences and digital humanities at Stanford and beyond.  Regular tasks will include programming, analyzing, designing, developing, implementing, modifying, and maintaining computer programs in systems of moderate size and complexity or segments of larger systems.

The CIDR Developer will join a distinguished and widely-recognized team of software developers and academic technologists with combined decades of expertise in the computational social sciences and digital humanities. Its activities support research and teaching in these fields for the Stanford community. CIDR collaborates both with individual faculty and with centers and departments engaged in digital research, such as the Center for Spatial and Textual Analysis (CESTA, incorporating the Spatial History Project, the Literary Lab, and Humanities+Design); the Institute for Research in the Social Sciences (IRiSS); the Stanford Humanities Center; and the Center for Computational Social Sciences.  CIDR is also a hub for collaboration and communication among social science and digital humanities scholars, library curators, and professional developers, promoting a sense of shared purpose in support of the Stanford mission of research and teaching.

The successful candidate will be a skilled software developer with a deep understanding of scholarship in the computational social sciences or the humanities. S/he will consult and collaborate with faculty on scholarly projects to identify technical approaches, processes and tools; evaluate and integrate existing software tools; and design and implement new solutions.  That candidate should have both a broad and deep understanding of current the state of the art in the computational social sciences or the digital humanities, as well as experience developing software for one or more of these domains: information visualization; statistical and textual analysis; natural language processing; event modeling; large dataset management and transformation; digital content creation, storage, and discovery; geospatial analysis; high performance computing concepts; or network analysis.

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