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77843 Requisition #
Thanks for your interest in the Senior Computational Biologist position. Unfortunately this position has been closed but you can search our 285 open jobs by clicking here.
DESIRED QUALIFICATIONS:
  • A PhD in engineering, computer science and statistics is preferred
  • Excellent Python and Linux bash scripting
  • Domain expertise in at least two omics such as WGS, RNA-Seq, RRBS, proteomics, metabolomics, microbiome
  • Working knowledge of container systems such as setting up virtual machines and Docker instances
  • Experience with data analytics toolsets such as R, SciPy/NumPy, Matlab
  • Working knowledge of code management such as git and Jenkins
  • Exposure to web development tools sets such as Django, HTML5, Javascript, CSS, JSON
  • Exposure to cloud computing through Amazon, Google
EDUCATION & EXPERIENCE (REQUIRED):

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

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
  • Ability to direct the work of others, for jobs requiring supervision.
  • Relevant subject matter knowledge.
  • Substantial experience with MS Office and analytical programs.
  • Excellent writing and analytical skills.
  • Ability to prioritize workload.
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.

WORKING CONDITIONS:

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

WORK STANDARDS (from JDL)
  • 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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