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==== [FILLED] 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: http://shahlab.stanford.edu 		Linked In: www.linkedin.com/in/nigam

**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:  plependu@stanford.edu