44 python-"Multiple"-"U"-"Washington-University-in-St"-"SciLifeLab" positions at The University of Chicago
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multiple datasets and/or settings. Supports lab efforts to publish research findings in scientific journals and/or present research findings at relevant scientific conferences and seminars. Participate in
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or Knowledge: Computer programming, particularly Python. Knowledge of astronomical spectroscopy and exoplanet detection techniques. Preferred Competencies Excellent written and oral communication skills. Work in
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, statistics, and metrics background. Experience: Programming experience with Stata, as well as statistical packages such as R. Programming experience in Python and familiarity with programming languages such as
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. Utilizes software, including but not limited to R, Python, and Tableau, to conduct analysis and visualization of data to generate reports and presentations on a recurring and ad hoc basis, as requested by
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Gottlieb and colleagues. The Research Professional will be involved in all stages of ongoing and new research projects. Responsibilities Write programs in Stata, R or Python to analyze large datasets
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. Programming skills using Python (preferred), Golang/Javascript (a plus), or other languages like C/C++, Java, or C# with advanced skills in at least one of these languages. Knowledge of web applications, REST
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collaborate with policymakers, practitioners, and people with lived experience to understand multiple perspectives and figure out what works. Elevate equity & inclusion: We aim to hire people with a range
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randomization across multiple projects. Generates clear data visualizations. Drafts memos, spreadsheets, and presentations targeting both policymakers and academic researchers. Reviews other analysts’ code as a
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theoretical understanding and practical experience with statistical computing using Python or R (the ability to work in both languages). Demonstrated proficiency with MS Office (Word, Excel, PowerPoint, and
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standards. Hands-on experience with data science tools and technologies, such as Python, R, SQL, Hadoop, Spark, TensorFlow, etc. Strong experience with data governance, data quality, and regulatory compliance