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--- fellow_position_2013 [2013/09/03 15:26]
plependu created
+++ fellow_position_2013 [2022/12/12 10:56] (current)
nigam
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-==== Data Science Fellow position at the Center for Biomedical Informatics Research at Stanford University ====
+==== [FILLED] Data Science Fellow Position at Stanford Center for Biomedical Informatics Research ====
-We are recruiting a data science fellow to further 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]].
+**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.
-The successful candidate will develop tools that support the creation and analysis of patient-, drug-, and disease-centric 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 large-scale statistics such as co-frequency metrics, 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.
+Web: http://shahlab.stanford.edu 		Linked In: www.linkedin.com/in/nigam
-The ideal candidate will have an MS or Ph.D. with a strong background in computer science or informatics. Prior experience with the manipulation of large datasets (>1TB) is expected. Strong problem-solving skills, creative thinking, attention to detail, teamwork, and the ability to build robust software tools as needed are required. Must have good communication skills and be fluent in both spoken and written English. Prior experience in mining biomedical or clinical databases, ontology-based analyses, text-mining, knowledge representation, or parallel computing platforms is desirable. Minimum technical proficiencies should include programming in Python, Java, R, C/C++; Unix shell scripting; and database management.
+**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
-To apply, please send your CV, a brief statement of your interests, and contact information for three references as one PDF document ---  //[[plependu@stanford.edu|Paea LePendu]] 2013/09/03//

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