The Center for Intelligent Imaging at UCSF is developing the next generation of AI based methods to advance image acquisition, reconstruction and quantitative image analysis. The Computational and Data Science Research Specialist will work with research scientists, clinicians, imaging IT professionals, software engineers, computational and data scientists to develop novel methods and to implement platforms for validating and deploying them within clinical workflows.
The Computational and Data Science Research Specialist will apply advanced software engineering, dev-ops experience, computational, computer science, data science, artificial intelligence and/or machine learning principles, with relevant domain science knowledge where applicable, to build highly complex software systems and workflows to integrate quantitative and AI based methods into all aspects of the clinical and research radiology workflow from image acquistion to diagnosis and intervention.
Work will have a focus on application and integration of state of the art machine learning and data science methodologies to perform a number of tasks using a variety of data. Tasks may include, but not be limited to, fast image reconstruction, segmentation of anatomical structures - including any number of computer vision applications, anomaly detection, classification, regression, and overall data analysis and processing. Data may include 2D and 3D MRI images, EMR data, demographic patient data, patient exams and reports, text and time series, to name a few.
The position will be responsible for working a diverse group of professionals to develop in-house software systems integrated with 3rd party platforms to create complex quantitative imaging solutions that are Health Insurance Portability and Accountability Act (HIPAA) and security compliant. The position will resolve complex research and technology development and integration issues, give technical presentations to associated research and technology groups and management. The hire will work with computational and infrastructure teams to evaluate new hardware and software technologies for advancing complex computing and/or data science projects including through the use of the high performance computing (HPC) and GPU computing strategies.
Develop clinically integrated software systems and data flows for quantitative imaging methods and software that implements machine learning approaches to analyze patient data, including 2D and 3D medical images. Apply computational, computer science, data science research and development principles, with relevant domain science knowledge, to perform research and technology integration and development. Responsibilities include research, design, development, analysis, operation, and support of HPC and data science research, software, tools and/or hardware resources. Develop software for data preprocessing and transformations, design and implementation of algorithms and perform computations (training algorithms), statistical analyses, interpretation and reporting of research. This specialty/function exists for those positions whose primary responsibility is to do research and use computational and data science technology as a tool to accomplish the research.
Internal Number: 3115216
About University of California, San Francisco
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and high-quality patient care. It is the only UC campus in the 10-campus system dedicated exclusively to the health sciences.