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Research Data Analyst 1

Stanford · Stanford, CA, United States · Hybrid

Weak hiring record · median 97 days open

9292

Hiring signal

Actively hiring

Still listed on the employer's own board · How we score

All reasons
  • 62% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board

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Research Data Analyst 1 at Stanford. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Stanford University is seeking a Research Data Analyst 1 to collect, manage and analyze large amounts of neuroimaging data, under the direction of and in collaboration with researchers in the Department of Biomedical Data Science.

Core Duties

  • Collect, manage and clean datasets.
  • Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
  • Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
  • Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
  • Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
  • Analyze data processes in documentation.
  • Collaborate with faculty and research staff on data collection and analysis methods.
  • Provide documentation based on audit and reporting criteria to investigators and research staff.
  • Communicate with government officials, grant agencies and industry representatives.

Minimum Education

Bachelor's degree or a combination of education and relevant experience.

Minimum Experience

Experience in a quantitative discipline such as economics, finance, statistics or engineering.

Knowledge, Skills and Abilities

  • Substantial experience with MS Office and analytical programs.
  • Strong writing and analytical skills.
  • Ability to prioritize workload.

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