Gis Data Informatics Specialist

GIS Data Informatics Specialist Department of Integrative Biology All Applicants 40 Exempt Sep 01, 2023 Expected to Continue Until Aug 31, 2024 BRACKENRIDGE FIELD LAB

• Populate Stengl data onto data portals (eg DataOne, GBIF) for researcher, student and public access for different data classes.
• Develop appropriate data management structures and methodologies to incorporate the broad range of data relevant to Stengl Biological Station. Manage the backup system.
• Establish data pipelines between Field Station and UT Collections data, including relational databases and shared metadata where applicable.
• Analyze biological and abiotic data to evaluate geospatial relationships and generate compelling and visually appealing updated mapping products.
• Consolidate Stengl biological and environmental data (old and new) onto Box folders. Pre-fire data includes records from individual studies, baseline studies, and citizen science sources (eg iNaturalist, eBird, BugGuide). Postfire data will be collected by field survey teams.
• Acquire and analyze remote sensed and environmental data from external sources. These include DOQQ high resolution images, historic landcover images, SSURGO soils, fire intensity and topographic data. Explore opportunities for acquisition of LIDAR forest structure, and hyperspectral imagery.
• Update the field station data management plan to ensure compliance with current UT and international data standards. Include steps for data acquisition, organization for efficient access, and quality control.

• Provide monthly progress reports.
• Schedule work to support field research activities. Maintain a work tracking schedule.
• Document work and expenses of staff, supplies and equipment to ensure full cost recovery.
• Participate in weekly progress meetings with crew and with field station leadership.
• Ensure all technical, EHS and administrative training requirements are implemented.
• Participate in regular meetings with research scientists.
• Purchase equipment and supplies within budget.

• Relevant education and experience may be substituted as appropriate.
• PhD in biological science, geography or GIS-related field.

• Knowledge of spatial statistical analysis techniques applied to biological research.
• Self-motivated and goal-oriented mindset.
• Proficiency with programming languages such as Python or R that commonly integrate with GIS.
• Advanced GIS geoprocessing experience in ArcGIS or QGIS etc.
• Excellent communication skills: listening, written and verbal.
• Experience with data informatics, to stimulate and support wider use of biological and environmental data.
• Record of publications in scientific journals.
• Effective problem-solving skills in a dynamic environment.
• Effective task planning and workflow management skills.
• Experience with experimental design, analysis, and writing protocols and reports.
• Experience with developing and implementing data management plans.
• Familiarity with data visualization techniques for creating useful and impactful maps and charts.

• Continuous use of keyboards and display monitors.
• May require lifting and moving loads up to 40lbs.
• Exposure to insect bites/stings.
• Exposure to all weather conditions.

• May occasionally require a non-standard work schedule including working long days, weekends and/or holidays.

• CV
• Research Statement
• Minimum of three letters of reference, at least two of which must be from referees outside of the University of Texas at Austin.
• Sample GIS work or portfolio (if available)
• Letter of interest explaining how your skills and experience match the job requirements
• PhD verification - Examples of official documentation of degree include: (1) Copy of diploma (preferred), (2) Copy of a letter of completion on letterhead from the office of the registrar or graduate office confirming completion of degree requirements, (3) Copy of official transcript in English with "degree awarded" information.

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.

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• Right To Work Poster (English) [PDF]