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Senior Research Data Support Analyst
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Full-time
- Position Focus: Join the Yale School of the Environment (YSE) and use your data and computational skills to help tackle important environmental and sustainability challenges, including climate change, biodiversity loss, and the energy transition.
- Successful candidates will provide professional consultation and direct support to researchers engaged in data-intensive projects across the many disciplines in YSE. They will consult with and guide researchers on data pipelines and computational workflow, guiding and helping directly implement solutions.
- Solution may include data workflow design plans and protocols for maintenance and management of data sets through all phases of research; review progress and assure accuracy and compliance of data being acquired and stored; computational research support, which may range from suggesting to implementing approaches to helping streamline and improve coding efficiency.
- Ideal candidates will have practical working experience organizing large data sets in a linux environment, often requiring parallel processing (, dask, spark, dbt), and working in R, python, or SQL environment.
- YSE research projects may involve working with data set too large to load into RAM all at once; cloud services ( AWS, Azure, and Google Cloud); columnar data types, coding collaboration solutions (, GitHub).
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