Scientific Analyst I (Extended Temporary) (Part-Time)

This Scientific Analyst I (Extended Temporary) (Part-Time) position is with University of Arizona in Tucson, AZ. Data Preprocessing, Dataset Harmonization Data Documentation: Collect, clean, preprocess, and organize structured and unstructured rangeland ecology, hydrology, and soil science datasets into standardized, analysis-ready formats using Python and Esri’s ArcGIS suite. Perform quality control measures and dataset testing to ensure data accuracy, completeness, and topology integrity. Document data sources, processing steps, and analytical methods to support transparency and repeatability for research collaborators and stakeholders. Computational Module Support Process Automation: Support the RHEM research team in developing, evaluating, and maintaining scientific modules and database components for the web-based tool using Python and spatial information systems workflows under direct supervision. Identify opportunities to improve technical efficiency in routine data analysis and tool performance through script-based automation and standardized processing pipelines. Data Visualization Spatial Analysis Output: Develop visual representations, summary graphics, and spatial data visualizations using Python and Esri’s ArcGIS suite to demonstrate RHEM hydrology, soil erosion, and rangeland input/output data patterns and practical use cases for interdisciplinary research teams and stakeholders. Tool Quality Testing Stakeholder Documentation: Perform quality assurance and functional testing on RHEM web tool modules and dataset inputs within defined guidelines. Support the preparation and enhancement of technical documentation, standard reports, and user training/instructional materials in varying formats to communicate data methods and system usage to stakeholders. Knowledge, Skills, and Abilities (KSAs): Proficient skill in Python for data processing, analysis, and visualization. Ability to compile, filter and summarize tabular data. Strong attention to detail for data QA, documentation, and testing. Ability to integrate heterogeneous tabular data from multiple sources. Solid written communication skills for user-facing documentation. Familiarity with the Esri/ArcGIS ecosystem.