Research Associate, Data Science

Job Description Summary: The Department of Environmental & Occupational Health is seeking to fill a Research Associate, Data Science position for the research group of Associate Professor Susan Anenberg. Dr. Anenberg's main interests are quantifying health impacts of climate change and air pollution from local to global scales, including developing scientific methods and evaluating policy scenarios for mitigation. This research is interdisciplinary and draws from a variety of fields, including atmospheric science, epidemiology, and economics. The Research Associate will be co-advised by Dr. Anenberg and Research Scientist Dr. Dan Goldberg. Ability to exercise independent judgment, think critically and logically to overcome problems, and work under minimal supervision is essential. The primary responsibility is to support NASA grants on using satellite remote sensing to characterize air pollution and climate change, and their public health impacts and opportunities for mitigation. This work may include data cleaning, processing, and analysis; developing webpages; and communicating with GW faculty and staff and external partners. Important geospatial datasets used for this research include satellite remote sensing of environmental characteristics such as air quality (e.g. globally gridded nitrogen dioxide column densities from the Ozone Monitoring Instrument, OMI, and the TROPOspheric Monitoring Instrument, TROPOMI) and vegetation and green space (e.g. globally gridded normalized difference vegetation index, NDVI), demographic variables (e.g. census block, block group, and tract data from the U.S. Census), and output from environmental models (e.g. gridded air pollution levels over urban, regional, and global areas). Primary duties and responsibilities include, but are not limited to: * Clean, organize, process, and analyze large datasets in R, Python, ArcGIS, or similar programming language * Develop web-based visualizations and publication-quality figures, charts, and tables for high-impact dissemination * Suggest approaches for processing, analyzing, and visualizing data in efficient and effective ways * Identify, review, and suggest available datasets, data servers, and visualization platforms to enhance analyses and communication of results * Support faculty and staff in the research group, as well as external partners, in communicating results, figures, charts, and tables as needed * Performs other related duties as assigned. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position. Salary is commensurate with training level and experience.

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