Stanford University - Stanford, CA
posted 3 months ago
The Department of Radiology at Stanford University is seeking a Research Data Analyst 1 for a one-year fixed term position. This role is pivotal in managing, analyzing, and extracting insights from extensive medical imaging datasets. The successful candidate will work within the Integrative Biomedical Imaging Informatics (IBIIS) Division, collaborating closely with the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI). The primary focus will be on assisting with data management and the development of innovative imaging biomarkers derived from various medical imaging modalities. The candidate will be responsible for handling multi-modality datasets, which include biomedical imaging, clinical notes, and categorical variables. The role will require expertise in inverse problems for compressive reconstruction of undersampled medical images, the development of medical image analysis algorithms, and familiarity with language models for parsing clinical notes. A significant portion of the work will involve retrospective data that has already been acquired. The ideal candidate should possess experience with standard programming and data exploration/analysis frameworks, particularly in Python and its common packages such as PyTorch and JAX. Additionally, a solid understanding of software engineering principles is essential for success in this role. Key duties include collecting, managing, and cleaning datasets; employing tools to interpret, analyze, and visualize multivariate relationships in data; creating databases and reports; developing algorithms and statistical models; and performing statistical analyses tailored to data and reporting requirements. The candidate will also be expected to identify and rectify problematic data, suggest solutions, and collaborate with faculty and research staff on data collection and analysis methods. Effective communication with government officials, grant agencies, and industry representatives is also a critical aspect of this position.