Pathology Research Data Analyst: Data Pipelines & Insights

The Chronicle Of Higher Education, Inc.

Baltimore (MD)

On-site

USD 48,000 - 84,100

Full time

14 days+

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Job summary

Johns Hopkins University is seeking a Research Data Analyst in the Pathology division to provide data analysis and contribute to a pipeline that collects and analyzes data for multiple research projects. The role involves developing, maintaining, and using data pipelines and generating reports and models.

The position requires a Bachelor's degree and about three years of related experience, with duties spanning data collection, statistical analyses, and preparation of analytic tables.

Qualifications

  • Data collection, reporting and modeling across multiple projects.
  • Support for development, maintenance and use of a research data pipeline.

Responsibilities

  • Collect data and generate reports and models.
  • Run models, analyze model results, and prepare reports on the analysis.
  • Conduct analyses in support of the assigned research project or study.
  • Conduct statistical analyses using standard and statistical software packages.
  • Design and prepare tables to illustrate analytic findings.
  • Manage or contribute to entry of data in the assigned database.
  • May engage in other research related responsibilities.
  • Other duties as assigned.

Skills

Data management and analysis
Data pipeline architecture
Data visualization
Programming languages
Reproducible research practices
Research methodology
Statistical modeling
Statistical programming

Education

Bachelor's degree in related discipline

Job description

Johns Hopkins University is seeking a Research Data Analyst in the Pathology division to provide data analysis and contribute to a pipeline that collects and analyzes data for multiple research projects. The role involves developing, maintaining, and using data pipelines and generating reports and models.

The position requires a Bachelor's degree and about three years of related experience, with duties spanning data collection, statistical analyses, and preparation of analytic tables.

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