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CSS, Inc. seeks a full-time Marine GIS Analyst with experience in coastal science and marine resources management, spatial ecology, and oceanography for a full-time contract position with the National Oceanic and Atmospheric Administration’s (NOAA) National Centers for Coastal Ocean Science (NCCOS). NCCOS’ Harmful Algal Bloom (HAB) Forecast Branch conducts collaborative projects with partner agencies such as NASA, CDC, and NOAA’s IOOS, Oceans & Human Health, and National Marine Sanctuary Programs. These projects analyze and model satellite and other remotely sensed oceanographic and meteorological data to develop products that can support monitoring and forecasts of HABs, water clarity, and water depth to inform coastal managers and the public. The successful candidate will develop and use computer programs to streamline satellite data processing steps that produce NCCOS’ experimental products; provide support in python and other open-source languages in implementation of algorithms; collect, process, and analyze field radiometry data to help validate experimental HAB forecasts; provide ArcGIS support; review scientific literature on water quality parameters and HABs; and help transition experimental forecast products into automated Operational Forecast Systems.
- Developing processing capabilities for testing and implementing products from satellite data
- Coordinate collection of water quality and radiometry data in freshwater or riverine systems
- Develop streamlined storage and processing system for field radiometry, to allow for easier analysis and distribution of the data.
- Assemble and review water quality and phytoplankton data from in situ samples and assist in the validation of remotely-sensed image products
- Provide scientific support for NOAA annual HAB Cyst Cruises
- Conduct statistical analyses of water quality, radiometry, and satellite data to help develop forecast bulletins for HAB blooms
- Assemble and distribute weekly experimental HAB Forecast Bulletins to track the development of Microcystis blooms in Lake Erie
- Create computer programs (e.g., python) to transition the procedures for creating HAB Forecast Bulletins into ArcGIS or cloud computing and produce georeferenced PDFs with accessible metadata for dissemination to users
- Assist with manuscript preparation (reports and peer review publications), basic statistical analysis, poster & presentation development
- Assist with outreach and education activities to engage coastal resource managers and enhance their experience with using HAB Forecast Bulletins