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Total Rewards The referenced salary range is based on Johns Hopkins University’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. Johns Hopkins offers a...
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designing and implementing data collection forms, cleaning data, and running statistical models with the collaboration of the research team. Work with PI to update and maintain data files including
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or data cleaning methods, software, or personnel. Document work and data analyses, particularly through organized digital records of data set sources, file locations, and statistical and bioinformatics code
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, statisticians, and investigators in a variety of fields to manage and analyze complex multicenter longitudinal data. The successful applicant will contribute to the development and application of statistical
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/ATAC-seq/RNA-seq. Knowledge in statistical analysis and integration analyses between these assays. Significant contributions will be rewarded with co-authorship. The applicant will enjoy working with
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design data and data visualization in SQL, Power BI and Tableau. Perform statistical modeling, analysis and data mining to support investment decision making. Overcome modeling challenges associated with
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Details Posted: 19-Mar-24 Location: Baltimore, Maryland Type: Full-time Salary: Open Categories: Academic/Faculty Mathematics/Statistics Internal Number: A-80105-3 General Description The Johns
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problems. Use various software applications such as spreadsheets, relational databases, statistical packages, and graphics packages to assemble, manipulate, and/or format data and/or reports. As needed
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& Reporting Functions (20%) Assist in the collection, analysis and reporting of admissions statistics throughout the admissions cycle, using admissions software (e.g. SIS, Slate) and other appropriate sources
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to all statistics packages. Provide support to faculty investigators in all areas of research projects, including data management and cleaning, basic biostatistical analysis, and complex biostatistical