82 Statistics positions at Johns Hopkins University in United-states in United States
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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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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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& 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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complex research protocols to address research questions Make significant important contributions to the group's research, analyze data and prepare graphs/ charts, including statistics. Contributes
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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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research, and secondary effort to statistical consultation within the Johns Hopkins Biostatistics Center. An 80%/20% allocation of primary / secondary roles is envisioned. In the primary project
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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