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Field
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. Contribute to geospatial epidemiology analyses using GIS-linked eRegistry data. Develop reproducible R-based analysis pipelines, including support for DataSHIELD or other privacy-preserving/distributed
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Position Details Position Information Recruitment/Posting Title Research Scientist II (GIS) Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department CINJ - Cancer Registry
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programming experience in one or more languages such as Python, R, or MATLAB. Experience working with marine / environmental observation systems, sensor data, and / or remote sensing. Experience handling large
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grasp of machine learning, computer vision techniques, statistics, and signal processing High proficiency in programming environments (e.g., R, Python) and spatial analysis tools (GIS) Good knowledge
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research for an NIH-NSF funded project on human health, movement, and infectious diseases. Successful applicants will have experience in: Either spatial analysis using GIS or disease modeling in R and/or
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, or extreme weather impacts on health. Experience with quantitative datasets and applying statistical or analytical methods using software such as R, SAS, Python, Stata, or similar tools. Familiarity with
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, or modeling using tools such as Python, R, GIS, or similar computational platforms. Demonstrated ability to collaborate across disciplines and translate technical and social science insights into scholarly
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, Python, etc.), and working knowledge of data management protocols. Experience with exposome or environmental data, multiomics integration, and exposure-wide association studies (ExWAS) and GIS preferred
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analyses Meeting facilitation and stakeholder engagement experience Experience with statistical analysis, GIS, Python, R, SQL, PostgreSQL, or web application development Experience managing research budgets
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collaborators. These deployments provide a rare opportunity to construct digital twins grounded in operational infrastructure, live data, and scalable computation. This position is not focused on conventional GIS