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reconciliations. This position will focus on monthly balance sheet reconciliations including accounts receivable (A/R), accounts payable (A/P), and cash for all three Press divisions (Books, Journals, and the
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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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Bioinformatics, Computational Biology, or related field. Experience: Experience and proficiency in Python, R, Bash, MySQL Experience working in a Clinical Laboratory. Strong computing skills and Linux experience
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terminology related to filling data requests, communicate effectively with a business analyst and clients, write SQL queries which optimize the organization of data deliverables, perform analyses using R and
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participants Data cleaning and management. Prepares analytic datasets using data analysis software (E.g. R tidyverse packages, Pandas for Python). Follows the standards of transparent and reproducible data
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, such as R, Python, SAS, SPSS, Stata, etc.; a successful applicant will have the ability to work effectively in a multidisciplinary collaborative environment. Responsibilities Assists in analyzing data
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. Bai and Leong, including Collecting data Creating computational models Designing experimental stimuli Coding experiments (in Qualtrics, JavaScript) Analyzing data (in R, Python) Preparing research
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temporal data visualization. Strong background in distributed computing tools (dask). High-performance computing clusters. Linux command line/bash scripting. Familiarity with R and/or STATA. Preferred
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data visualizations of information and results, and using econometric methods. Technical Skills or Knowledge: Proficiency in leading statistical packages (e.g., STATA, R, SPSS). Programming qualtrics
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the fundamentals of machine learning, with the ability to use Python or R required. Experience working with messy, real-world data sets preferred. Experience working with text, images, or other non-tabular data