Sr. Data Scientist

Aug 02, 2017
Administrative Jobs
Technology, IT Support & Training
Institution Type
Four-Year Institution

Stanford University

Sr. Data Scientist

Job Number:

A research lab in the Division of Biomedical Informatics Research and the Institute for Immunity, Transplantation and Infection at Stanford School of Medicine is seeking highly motivated individuals for multi-disciplinary research in computational immunology. The projects will utilize diverse cohorts generated using state-of-the-art technologies across one or more diseases. Individuals will independently design studies, analyze data, and disseminate findings. They will independently work with investigators on proposal or grant development.They will take the lead on studies and research projects. They will oversee data scientists in the lower levels and lead teams of postdocs and graduate students focused on an immunological disease

Duties include:
  • Oversee lower-level staff on quality control
  • Oversee lower-level staff on creation of analytic files
  • Identify appropriate statistical tools for analysis
  • Implement data analysis through statistical programming
  • Consult with investigators and others on appropriate statistical approaches to data analyses; assist in study design
  • Develop oral and written dissemination of findings for conference presentations and peer-reviewed journal articles
  • Implement studies to address statistical issue arising from collaborations
* - Other duties may also be assigned
  • Strong background in machine learning, biostatistics and bioinformatics
  • Experience with various experimental technologies in immunology
  • Experience with analysis of sequencing data
  • Manipulation and analyses of complex high-dimensional data
  • Programming (python, R, Javascript, C++)
  • Experience with deep learning approaches
  • Industry experience as a data scientist
  • Demonstrated ability to implement machine learning models in scalable format for broad applicability
  • Strong communication and presentation skills

Master's degree in biostatistics, statistics or related field and at least 5 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,

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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