Bioinformatician/Research Data Analyst | Stanford, California, United States | Stanford University

Position:	Bioinformatician/Research Data Analyst
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
Requirements:	Bachelor’s degree (or higher) in Bioinformatics, Computer Science or a related field with two years of relevant experience; MS or PhD in bioinformatics-related field; Strong background in bioinformatics and biostatistics, including analysis of high-throughput sequencing data; Experience working within a UNIX/Linux environment; Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL

Text:	Bioinformatician/Research Data Analyst 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 Bachelor’s degree (or higher) in Bioinformatics, Computer Science or a related field with two years of relevant experience; MS or PhD in bioinformatics-related field; Strong background in bioinformatics and biostatistics, including analysis of high-throughput sequencing data; Experience working within a UNIX/Linux environment; Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL