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Research Data Analyst 2

Stanford · Stanford, CA, United States · Hybrid

Weak hiring record · median 97 days open

100100

Hiring signal

Actively hiring

Posted today · 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

  • Posted today
  • Still listed on the employer's own board

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Research Data Analyst 2 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 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision in the Department of Biomedical Data Science.

Core Duties

  • Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.
  • Determine additional data collection and reporting requirements.
  • Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.
  • Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.
  • Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
  • Serve as a resource for non-routine inquiries such as requests for statistics or surveys.
  • Test prototype software and participate in approval and release process for new software.
  • Provide documentation based on audit and reporting criteria to investigators and research staff.

Minimum Education

Bachelor's degree and three years of relevant experience or 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.
  • Excellent writing and analytical skills.
  • Ability to prioritize workload.

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