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fellow_position_2013 [2013/09/03 15:57]
plependu [Data Science Fellow position at the Center for Biomedical Informatics Research at Stanford University]
fellow_position_2013 [2013/09/03 15:58]
plependu [Data Science Fellow position at the Center for Biomedical Informatics Research at Stanford University]
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 ==== Data Science Fellow position at the Center for Biomedical Informatics Research at Stanford University ==== ==== Data Science Fellow position at the Center for Biomedical Informatics Research at Stanford University ====
  
-We are recruiting a data science fellow to support our research toward uncovering patterns of practice and enabling data-driven decision making in medicine and health care. Our research group is part the Center for Biomedical Informatics Research at Stanford and the National Center for Biomedical Ontology. For more information about our lab, please visit [[http://shahlab.stanford.edu]] and [[http://www.linkedin.com/in/nigam]].+We are recruiting a data science fellow to support our research toward uncovering patterns of practice and enabling data-driven decision making in medicine and health care. Our research group is part the Center for Biomedical Informatics Research at Stanford and the National Center for Biomedical Ontology. For more information about our lab, please visit[[http://shahlab.stanford.edu]] and [[http://www.linkedin.com/in/nigam]].
  
 The successful candidate will develop tools that support the creation and analysis of network models originating from structured and unstructured datasets extracted from clinical data warehouses. Your work will improve upon the existing clinical text annotation workflows developed at Stanford, provide a framework for computing and leveraging statistical measures such as co-frequency metrics at a large-scale, and inform ongoing research in a variety of real-world care settings. This exciting work will be guided by multidisciplinary collaborations with doctors at Stanford Hospital and ontology experts at the National Center for Biomedical Ontology. The successful candidate will develop tools that support the creation and analysis of network models originating from structured and unstructured datasets extracted from clinical data warehouses. Your work will improve upon the existing clinical text annotation workflows developed at Stanford, provide a framework for computing and leveraging statistical measures such as co-frequency metrics at a large-scale, and inform ongoing research in a variety of real-world care settings. This exciting work will be guided by multidisciplinary collaborations with doctors at Stanford Hospital and ontology experts at the National Center for Biomedical Ontology.
fellow_position_2013.txt · Last modified: 2022/12/12 10:56 by nigam