The Department of Radiology at Stanford University is seeking a Data Analyst to develop novel Magnetic Resonance Imaging (MRI) techniques to better understand human brain functions, delineate brain structures, and diagnose brain diseases.
Requirements
- Image interpretation and manipulation using OSIRIX on Macintosh.
- Ability to use image processing softwares, including Matlab, ImageJ, FSL, SPM, ITKsnap.
- Ability to develop Linux-based scripts, program in Python, use of GitHub.
- Experience with medical imaging datasets.
- Experience with basic statistics for health sciences.
- Experience with AI software frameworks, including TensorFlow, pyTorch, and Keras.
- Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software.
Responsibilities
- Identify and select usable data from subtle and complex data patterns.
- Assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information.
- Design methods to validate data to ensure high quality product.
- Develop and produce dashboards, key performance indicators, and other recognized metrics used to monitor and report organizational performance.
- Collect, manage and clean datasets using an extraction and reporting programming language to ensure data integrity.
- Research and reconcile data discrepancies occurring among various information systems and reports.
- Collaborate with data managers to define and implement data standards and common data elements for data collection.
Other
- Bachelor's degree or a combination of education and relevant experience.
- Experience in a quantitative discipline such as economics, finance, statistics or engineering.
- Strong listening, verbal and written communication skills.
- Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail.
- Ability to work effectively with multiple internal and external customers.
