Biomedical Informatician

Feb 28, 2018
Institution Type
Four-Year Institution

Biomedical Informatician

Stanford University

Job Number:

A research lab in the Division of Biomedical Informatics Research at Stanford School of Medicine is seeking highly motivated individuals for multi-disciplinary research in computational health services research/public health informatics. The projects will utilize electronic health records (EHRs) to assess the quality of healthcare delivered and provide evidence that can be used to improve patient care using state-of-the-art technologies across one or more health care settings. These individuals will work with, and lead teams of postdocs and graduate students focused on healthcare quality and population health. The incumbent will, with some independence, consult with investigators to refine research questions, define hypotheses, design studies and devise analysis plans. Work with senior statistician(s) to implement analysis plan and publish findings.

Duties include:
  • Design study
  • Develop and implement protocol for quality control
  • Create analytic files with detailed documentation
  • Select appropriate statistical tools for addressing a given research question
  • Implement data analysis through statistical programming
  • Present results for investigators using graphs and tables
  • PhD in biomedical informatics, computer science, biostatistics or health services research
  • Strong background in machine learning, biostatistics and bioinformatics
  • Experience with large datasets and database use
  • Experience with analysis of electronic medical data
  • Manipulation and analyses of complex high-dimensional data
  • Programming (python, R, Javascript, C++) and database skills (SQL)
  • Experience with deep learning approaches
  • Industry experience as a data scientist a plus
  • 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 3 years of experience.

  • 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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