User Tools

Site Tools



Data Science Fellow Position at Stanford Center for Biomedical Informatics Research

About us: Our lab develops methods to analyze large unstructured data sets for data-driven medicine. We use ontologies to annotate, index, and analyze Big Data in biomedicine for enabling data-driven decision making in medicine and health care. Our research group is part of the Center for Biomedical Informatics Research at Stanford and the National Center for Biomedical Ontology.

Web: Linked In:

About you: You are a hands-on team member who will develop algorithms to uncover patterns of practice in health-related data from multiple sources. You will contribute at all levels: designing prototypes, implementing robust code, coordinating other contributors, and monitoring daily operations.

You will find this job to be a good fit if:

  • you think a terabyte of data is, meh, no big deal
  • you cringe at ugly code
  • you take transitive closures in your sleep
  • you feel passion for improving health care
  • you thrive in dynamic, fast-paced, somewhat unstructured environments

You look forward to responsibilities that include:

  • basic database management
  • programming in Python, Java, R, C/C++
  • basic Unix shell scripting and system administration
  • working with a small, core team of researchers
  • designing rapid prototypes and making some of them robust

You meet all of the following minimal requirements:

  • 3+ years of serious coding experience
  • Strong working knowledge of relational databases and SQL
  • Fluency in Python, Java, R, and Unix
  • BS in computer science or related field

You meet some of the desired qualifications:

  • Expertise in manipulation of large datasets (>1 TB)
  • Hadoop know-how
  • Ontologies, terminologies, UMLS, or Semantic Web
  • Statistics, data mining, and machine learning knowledge
  • MS or PhD in computer science or related field

Interested? Please contact:

fellow_position_2013.txt · Last modified: 2013/11/18 07:59 by nigam