Information Analytics
83488 Requisition #
Thanks for your interest in the Senior Data Scientist position. Unfortunately this position has been closed but you can search our 860 open jobs by clicking here.


  • Strong background in machine learning, biostatistics and bioinformatics.
  • Extensive experience in single cell epigenome: analysis, normalization, interpretation, methods development.
  • Experience in modeling, analysis of biological pathways, and development of novel investigation methods.
  • Experience in drug repurposing/discovery.
  • Experience with languages for integration, exchange, visualization and analysis of biological pathway data (e.g. BioPAX, KEGG).
  • Experience with analysis and development of Biomedical ontologies (RDF, OWL, SPARQL).
  • Experience with retrieval and analysis of electronic medical records.
  • Experience with analysis of sequencing data.
  • Experience in the analysis of data describing rare diseases, with focus on autoimmune diseases (e.g. Systemic Sclerosis, Idiopathic Pulmonary Hypertension).
  • Experience with transplant immunology.
  • Experience in the analysis of single cell data.
  • Manipulation and analyses of complex high-dimensional data.
  • Experience with analysis of high-throughput antigen profiling data.
  • Programming (python, R, Java, C++), database (Postgres, MySQL, Oracle), and web development tools.
  • Experience with deep learning approaches.
  • Experience in High Performance Computing (CUDA, multi-threaded applications).
  • Experience in ChemoInformatics, computational modeling of chemical structures (OpenBabel).
  • Demonstrated ability to implement machine learning models in scalable format for broad applicability.
  • Strong communication and presentation skills.
  • Must have at least basic experience with wet lab techniques (PCR, Western Blot, cell cultures).


  • Master’s degree in biostatistics, statistics or related field and five years of experience or Ph.D. in biostatistics, statistics or related field.


  • Proficient in at least two of R, SAS, SPSS, or STATA.

  • Skills in descriptive analysis, modeling of data, and graphic interfaces.

  • Outstanding ability to communicate technical information to both technical and non-technical audiences.

  • Demonstrated excellence in at least one area of expertise, which may include coordinating studies; statistical methodology such as missing data, survival analysis, statistical genetics, or informatics; statistical computing; database design (e.g., expertise in RedCAP or MySQL); graphical techniques (e.g., expertise in Illustrator).


  • Frequently perform desk based computer tasks, seated work and use light/ fine grasping.

  • Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 10 pounds.

*- 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.


  • May work extended or non-standard hours based on project or business cycle needs.


  • 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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