The Department of Radiology at Stanford University, specifically the Section of Neuroradiology in the Zaharchuk lab, is seeking a Data Analyst 1 to support research focused on developing novel Magnetic Resonance Imaging (MRI) techniques for understanding human brain functions, delineating brain structures, and diagnosing brain diseases. The role involves analyzing neuroimaging data to solve neuroscience problems.
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.
- Explore creative approach to using data based on technical expertise of available data.
- Develop and produce dashboards, key performance indicators, and other recognized metrics used to monitor and report organizational performance.
- Collect and analyze metric data.
- Collect, manage and clean datasets using an extraction and reporting programming language to ensure data integrity.
Other
- Bachelor's degree or a combination of education and relevant experience.
- Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases.
- 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.
