Biodiversity Data Analyst – Conneticut

Yale Univeristy
New Haven, CT
Job Category
Full time Positions
Last Date to Apply
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.
Required Education and Experience: Master’s degree in statistics, computer science or a related field and two years of experience in data management and analysis or equivalent combination of education and experience. Experience with data collection and in coordinating efforts of multiple groups. Required Skill/Ability 1: Demonstrated success working with “big data” on the order of hundreds to billions of records. Understanding of entity relationship diagrams (ERD) and the inherited cardinality rules of schemas/tables. Demonstrated record of documentation through GitHub and workflow optimization. Basic proficiency in Unix-based systems. Required Skill/Ability 2: Ability to work in a collaborative environment, receiving and providing feedback on code. Capacity to incorporate user feedback directly into products. Excellent written and oral communication skills. Required Skill/Ability 3: Demonstrated ability in conducting written and oral presentations that summarize the analysis of data, interprets the finding and provides conclusions and recommendations. Resourceful and able to solve problems in an organized and logical manner. Ability to function effectively independently and as part of a team with a professional demeanor. Required Skill/Ability 4: Ability to plan, organize and manage a large volume of varied work in a complex, fast-paced environment. Ability to multi-task, prioritize, and work under pressure to meet deadlines. Ability to concentrate and perform with interruptions. Excellent time management skills. Excellent attention to detail and accuracy. Preferred Education, Experience and Skills: Experience with Google Cloud Platform (BigQuery, Cloud SQL, Cloud Datastore, and Cloud Storage). Experience working with geospatial biodiversity data. Experience developing geospatial applications. Strong technical skills and relevant experience with Python and Shell scripting. Experience with hosted platforms such as Google App Engine and CARTO.
Contact Person
Michelle Duong
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