[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
