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    Biodiversity Data Analyst


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    • Employer: Yale University
      Location: New Haven, CT
      Country: United States
      Last Date to Apply: No value
      Open Until Filled: Yes

    Apply online: https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25053&siteid=5248#jobDetails=1352040_5248

    The Yale Center for Biodiversity and Global Change is seeking a Data Analyst to work with our growing team of developers and scientists at Yale University in New Haven, Connecticut. This is a unique opportunity to work in a collaborative environment and dynamic team that is developing technological solutions for conservation and research. Both the Yale Center for Biodiversity and Global Change and the Max Planck Yale Center for Biodiversity Movement and Global Change support research and training around the use of new technologies such as GPS tracking, machine learning, and remote sensing to address questions in ecology, behavior, and conservation.

     

    The ideal candidate will be comfortable with relational databases, familiar with writing efficient code and documentation, and will help build workflows for the internal team to process large data. The Data Analyst will manage and improve an existing database hosted within a PostgreSQL/PostGIS environment and work with the informatics team to build, extend, and support new data products to support global biodiversity research and conservation projects. The Data Analyst will report to the Senior Software Engineer and other team members and participate in the organization, management, and ensuring the integrity of complex datasets. They will work collaboratively to analyze spatial data and manage a global spatial biodiversity database (>1 billion records).

     

    The position will be based at Yale University, with close collaborative links to our partners worldwide. The Yale Center for Biodiversity and Global Change connects biodiversity scientists from across campus and hosts a range of speaker and workshop events. It supports research and training around the use of new technologies and data flows for model-based inference and prediction of biodiversity distributions and changes at large spatial and taxonomic scales. Flagship Center projects include Map of Life and associated activities supporting the Half-Earth Map and the development of the GEO BON Species Population Essential Biodiversity Variables. For animal movement data we are partnered with the Icarus Initiative, a space station-based near-global GPS animal movement observation system, and Movebank, which supports the management and integration of movement data. For camera trapping data we are members of the Wildlife Insights initiative. Other Center initiatives include the integration of phylogenetic information with spatial distributions (e.g., VertLife), and the NASA-supported development and application of remote sensing-informed layers for biodiversity modelling (EarthEnv).

     

    Much of the technical development work in the Center connects to Map of Life. Map of Life aims to support effective and global biodiversity education, monitoring, research and decision-making by assembling and integrating a wide range of knowledge about species distributions and their dynamics over time. Built on a scalable web platform geared for large biodiversity and environmental data, Map of Life provides best-possible species distribution information together with a range of data and biodiversity indicator products. These products in turn underpin analytics and mapping for the Half-Earth Project.

     

    Yale University offers researchers and staff competitive salaries and a generous package of benefits. Yale has a thriving and growing community of young scholars in ecology, evolution and global change science in the Department of Ecology and Evolutionary Biology, the Yale Institute for Biospheric Studies, the Peabody Museum, and the School of Forestry and Environmental Studies. The town is renowned for its classic Ivy League setting, 75 miles north of New York City.

    For Questions email jobs@mol.org

     

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