Digital Agriculture Research Data Manager, Plant Sciences

Digital Agriculture Research Data Manager, Plant Sciences

Primary Purpose : The Digital Agriculture Research Data Manager plays a key role in supporting the Nutrien Centre for Digital and Sustainable Agriculture (NCDSA) by facilitating access to high-quality geospatial agricultural and environmental datasets. The position will enable researchers, graduate students, and research assistants to use these data effectively. The position bridges the gap between data infrastructure and research application guiding users in data discovery, analysis, and the application of modern data science and machine learning methods to advance digital agriculture research and innovation.

Nature of Work : Reporting to the Director of Nutrien Centre for Digital and Sustainable Agriculture (NCDSA), the Data Manager provides hands-on support to research teams and students working with Earth Observation, agronomic, soil and environmental data. The role focuses on data curation, integration, and applied analytics. The incumbent will work closely with faculty, postdoctoral fellows, as well as graduate and undergraduate student researchers to ensure that Centre datasets are properly organized, documented, and used in compliance with institutional and partner data policies. Work is office-based at the NCDSA, University of Saskatchewan. Collaborates closely with the Data Systems Manager and research staff across the College of Agriculture and Bioresources.

Typical Duties or Accountabilities :

Research and User Support

• Guide students and researchers on how to locate, access, and use datasets relevant to their projects.
• Provide one-on-one and group instruction in geospatial and data-analytic tools (, Google Earth Engine, Python, R, QGIS).
• Support the application of machine learning and statistical methods to research projects.
• Develop documentation, training materials, workshops and tutorials to improve research data literacy.

Data Curation and Quality Control

Data Integration and Applied Analysis

Data Governance and Collaboration

Training and Outreach

Education : Master’s degree in geoinformatics, data science, agricultural science, or a related field.

Experience :

Skills :

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