Informational And Statistical Analyst

MSU Internal Job Postings DetailsEast Lansing, MI
Remote

About The Position

This position will support research in the Lark Agricultural Land Solutions (AgLands) Lab. The successful applicant will perform GIS analysis, data processing, cartographic design, and website development and management. Principal duties include: Providing technical assistance on research projects on U.S. agriculture and environmental policy Making contributions to scientific publications Graphic design, programming in Python, R, SQL, JavaScript, and other programming languages Processing spatial data using advanced techniques Processing spatial data using advanced techniques Unique Responsibilities: Spatial database management - Design, implement and maintain spatial landcover databases. Structure databases that can be queried to extract data for analysis. GIS analysis – Analysis of spatial data to explore geographic patterns and relations among datasets. Geo-visualization - Create graphics (maps, histograms, scatterplots, etc) for data exploration and representation. Web mapping - Create interactive web maps for presenting and disseminating datasets created from the lab.

Requirements

  • Knowledge equivalent to that which normally would be acquired by completing a four-year college degree program in Business , Statistics or Mathematics with relevant course work in computer programming
  • One to three years of related and progressively more responsible or expansive work experience in programming, database management or data collection
  • An equivalent combination of education and experience

Nice To Haves

  • 5+ years of experience with GIS, Python, R, SQL, and JavaScript programming languages, and ability to work with both raster and polygon spatial data.
  • Experience with land change science, particularly in the USA and agricultural settings.

Responsibilities

  • Spatial database management - Design, implement and maintain spatial landcover databases. Structure databases that can be queried to extract data for analysis.
  • GIS analysis – Analysis of spatial data to explore geographic patterns and relations among datasets.
  • Geo-visualization - Create graphics (maps, histograms, scatterplots, etc) for data exploration and representation.
  • Web mapping - Create interactive web maps for presenting and disseminating datasets created from the lab.
  • Providing technical assistance on research projects on U.S. agriculture and environmental policy
  • Making contributions to scientific publications
  • Graphic design, programming in Python, R, SQL, JavaScript, and other programming languages
  • Processing spatial data using advanced techniques
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