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Position: Bioinformatician/Research Data Analyst
Institution: Stanford Medicine
Location: Stanford, California, United States
Duties: Lead and own organization-wide data initiatives (e.g. models, frameworks, platforms, dashboards); Supervise, coach and mentor a high-performing team of analysts; Identify, leverage and partner with external firms; 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 and five years or more of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering
   
Text: Bioinformatician/Research Data Analyst Lead and own organization-wide data initiatives (e.g. models, frameworks, platforms, dashboards); Supervise, coach and mentor a high-performing team of analysts; Identify, leverage and partner with external firms; 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 and five years or more of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering
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