Spatial Data Science Librarian

Posted to IASSIST on: 2019-08-06

Employer: University of California, Los Angeles

Employer URL:


The UCLA Library seeks a Spatial Data Science Librarian (SDSL) to develop and extend the Library’s role in providing services centered around facilitating geospatial research, enabling its use through research support and instruction, and building community by collaborating with colleagues within and beyond the Library. This role provides leadership for the Library in geospatial data collection, including collaborating with UCLA, UC, and statewide university stakeholders on collecting, storing and preserving spatial research, purchased and open data. Reporting to the Director of the Library Data Science Center, the SDSL will play a leading role in defining the vision of geospatial services needed to support research and education at UCLA.

Required Qualifications

  • ALA-accredited Master’s Degree in Library or Information Science OR significant graduate-level coursework toward such a degree OR equivalent education and experience (subject expertise combined with professional library education and/or experience).
  •  Demonstrated GIS experience.
  •  Extensive knowledge and expertise with geospatial data and relevant software, such as, GDAL, ESRI ArcGIS applications, QGIS, and ENVI.
  •  Experience with Python or R and their application to geospatial data.
  • Competence with data preparation, analysis, visualization, and storytelling.
  •  Excellent communication skills.
  •  Significant experience and demonstrated interest in education, outreach, mentoring, consulting, community-building, and/or formal communication activities.
  •  Contribution to a Software Carpentry or Data Carpentry workshop or other data- or computation-focused training efforts.
  •  Ability to work in a highly collaborative and inclusive environment, one that values and leverages the benefits of diverse perspectives.

Desired Qualifications

  •  Master’s degree or equivalency in Geography, Geographic Information Science, or other relevant field, or relevant work experience.
  •  Experience with data management planning.
  •  Experience with SQL and spatial databases, such as PostGIS and SpatiaLite.
  •  Knowledge of a data repository, such as Dataverse, Dryad, or Zenodo.
  •  Knowledge of statistical reasoning and its application in geospatial science.
  •  Experience working in an academic, research, or special library.
  •  Experience working in higher education.
  •  Experience in donor relations and stewardship.

Archived on: 2020-01-08