Research Data Analyst 2

About the role

The Center for Population Health Sciences at Stanford University School of Medicine is seeking a Research Data Analyst 2 to manage and analyze large databases related to population health. The position involves cleaning, managing, and analyzing data from various sources, creating reports, and ensuring regulatory compliance.

Responsibilities

• 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.
• Test prototype software and participate in approval and release process for new software.
• Provide documentation based on audit and reporting criteria to investigators and research staff.

Requirements

• Expertise in SQL for data management and data analysis.
• Expertise in Python and its data analysis packages.
• Minimum, 1-2 years of experience conducting statistical analyses.
• Experience using cloud environment such as Google Cloud.
• Experience working with large health datasets is a plus.
• Academic or practical training in public health epidemiology, health research methodology, health database construction, or biostatistics is a plus.
• Experience in a quantitative discipline such as medicine, public health, economics, finance, statistics or engineering.
• Excellent organizational skills and demonstrated ability to complete detailed work accurately.
• Demonstrated oral and written communication skills.

Qualifications

• Desired Qualifications: Expertise in SQL for data management and data analysis. Expertise in Python and its data analysis packages. Minimum, 1-2 years of experience conducting statistical analyses. Experience using cloud environment such as Google Cloud. Experience working with large health datasets is a plus. Academic or practical training in public health epidemiology, health research methodology, health database construction, or biostatistics is a plus. Experience in a quantitative discipline such as medicine, public health, economics, finance, statistics or engineering. Excellent organizational skills and demonstrated ability to complete detailed work accurately. Demonstrated oral and written communication skills.

Education & Experience

• Required: 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.

Knowledge, Skills And Abilities

• Substantial experience with MS Office and analytical programs.
• Excellent writing and analytical skills.
• Ability to prioritize workload.

Physical Requirements

Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. Occasionally use a telephone. Rarely writing by hand.

Pay

The expected pay range for this position is $108,002 to $128,138 per annum.

Benefits

Stanford University provides a comprehensive range of benefits to employees, including health insurance, retirement plans, and paid time off. Details can be found on the Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards).