Research Data Analyst 1

Mar 08, 2018
Institution Type
Four-Year Institution

Research Data Analyst 1

Stanford University

Job Number:

The Department of Ophthalmology at Stanford University is seeking a Research Data Analyst 1 to contribute to research projects conducted in Dr. Alfredo Dubra's lab. The Research Data Analyst 1 will manage and analyze large amounts of information, typically technical or scientific in nature, under the direction of the PI. The candidate should have experience in the set-up, design and maintenance of databases in academic research settings. Ideally, s/he should be fluent in scripting languages, primarily Python. Experience in soft wares such as GitHub or Microsoft Team Foundation are desired. Proficiency with more than two database development environments is highly desired, to serve the lab and its integration with other labs (internal and external to Stanford).

Any experience with medical records and understanding of privacy principles are welcome. To learn more about our lab, please visit:

Duties include:
  • 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.* - Other duties may also be assigned

    • The ideal candidate would have a Bachelor of Science degree with training in object oriented and database programming.


    • Bachelor's degree or a combination of education and relevant experience.
    • Experience in data coordination and management are essential.

  • Substantial experience with MS Office and analytical programs.
  • Strong writing and analytical skills.
  • Ability to prioritize workload.
  • Experience with Software version management (repository) software such as Github or Microsoft Team Foundation.
  • Experience with Python is desirable, as it is key for integration with software developed by the lab. PHYSICAL REQUIREMENTS*:
  • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
  • Occasionally use a telephone.
  • Rarely writing by hand.* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.


    • Some work may be performed in a laboratory or field setting.

  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
  • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide,

    Job: Information Analytics

    Location: School of Medicine
    Schedule: Full-time
    Classification Level:

    To be considered for this position please visit our web site and apply on line at the following link:

    Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.


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