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77679 Requisition #
Thanks for your interest in the Computational Biologist position. Unfortunately this position has been closed but you can search our 285 open jobs by clicking here.
  • Graduate degrees that emphasize engineering, computer science and statistics are preferred
  • Domain expertise in at least two omics such as WGS, RNA-Seq, RRBS, proteomics, metabolomics, microbiome
  • An understanding of data modeling including ontologies and database design
  • Experience with Python and Linux bash scripting
  • Experience with experimental design protocols
  • Basic knowledge of code management such as git and Jenkins
  • Exposure to data analytics toolsets such as R, SciPy/NumPy, Matlab
  • Exposure to web development tools sets such as Django, HTML5, Javascript, CSS, JSON
  • Exposure to cloud computing through Amazon, Google
  • Exposure to container systems such as setting up virtual machines and Docker instances

Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.

  • Substantial experience with MS Office and analytical programs.
  • Excellent writing and analytical skills.
  • Ability to prioritize workload.
  • 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, http://adminguide.stanford.edu.

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