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Field
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Health, or a related field. Demonstrated expertise in large scale analysis and familiarity with health-related datasets. Additional Qualifications Proficiency in statistical software (R, Python, etc.), and
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will be assessed upon their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyze and work with complex issues. A strong foundation in Python
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following programming languages: Java, JavaScript, Python. Demonstrated proficiency with one or more of the following frameworks: React, Spring, Hibernate. Understanding of cloud-based infrastructure, system
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(R, 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
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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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modeling, for example, with FLAMMAP or FSim, Experience in analyzing large spatial and tabular datasets, Experience in GIS using ArcPro or R Terra, and; Experience coding in R and/or Python. Stipend
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well as pediatric malignancy. The successful candidate will have experience analyzing data, and proficiency in standard statistical software, including SPSS as well as R. Knowledge of python is a plus. If the
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, Google tools, system integration programs (APIs, imports/exports between CMMS, ERP, GIS, HR systems,) basic scripting or automations (Python, Power Automate, etc) and data visualization tools (Power BI
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to maintaining high data quality standards Problem‑solving skills and adaptability to dynamic project needs and field conditions Proficiency with data analysis tools (e.g., R, Python) are considered an asset
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in Python, R, or JavaScript for spatial analysis, interface development, or web applications. Experience in plugin or dashboard development (e.g., PyQGIS, Dash, Streamlit, or web-GIS frameworks