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Position: Bioinformatician
Institution: Stanford University
Location: Stanford, California, United States
Duties: Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness; Determine additional data collection and reporting requirements; Design and customize reports based upon data in the database; Oversee and monitor regulatory compliance for utilization of the data; Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others; Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation; Serve as a resource for non-routine inquiries such as requests for statistics or surveys
Requirements: Bachelor's degree and three years of relevant experience or combination of education and relevant experience; Experience in a quantitative discipline such as economics, finance, statistics or engineering; Working knowledge and a solid understanding of biological principles, bioinformatics terminology, and common sequence alignment programs (eg. Bowtie); An understanding of the statistical principles behind current best practices in high-throughput molecular data analysis; Strong experience in the use of a high-level programming language such as R, MATLAB, Python or Perl for complex data analysis
   
Text: Bioinformatician Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness; Determine additional data collection and reporting requirements; Design and customize reports based upon data in the database; Oversee and monitor regulatory compliance for utilization of the data; Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others; Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation; Serve as a resource for non-routine inquiries such as requests for statistics or surveys Bachelor's degree and three years of relevant experience or combination of education and relevant experience; Experience in a quantitative discipline such as economics, finance, statistics or engineering; Working knowledge and a solid understanding of biological principles, bioinformatics terminology, and common sequence alignment programs (eg. Bowtie); An understanding of the statistical principles behind current best practices in high-throughput molecular data analysis; Strong experience in the use of a high-level programming language such as R, MATLAB, Python or Perl for complex data analysis
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