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