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related experience preferred Proficiency with statistics, data modeling and algorithms Significant experience with R programming, and familiarity with one of other coding languages (e.g. Python, Perl
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
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resulting from incorrect, incomplete, or conflicting data in collection management system. Maintain processing statistics for reporting. Assists in designing and implementing new tools to improve access
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. Researchers will write code using Python. Some programs will also be written in STATA, R, or MATLAB. Collect, clean, synthesize, and analyze data. Produce statistical models. Provide analysis of data exhibits
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responsible for the design, monitoring and statistical analysis of clinical trials and observational studies for several major national and international NIH-funded clinical research networks. CBAR employs over
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of the study’s data dictionary. Other duties as required. Basic Qualifications College background and two or more years related research experience. Applicant should have proficiency in using statistical software
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models, drawing from computer vision, natural language processing, and graph neural networks Preparing transparent, interactive data visualizations Conducting statistical analyses Literature reviews
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., text manipulation). One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python). Proficiency in the use of large datasets using SQL, AWS, Snowflake. Additional
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developing SAS programs and shell scripts that: obtain data from Data Management Centers prepare datasets for subsequent statistical analysis create finalized Tables, Listings, and Figures (TLFs
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using requested packages, such as STATA, Python, R, or MATLAB. Collect, clean, synthesize, and analyze data. Produce statistical models. Provide analysis of data exhibits for academic journal articles