Brain Tumor Imaging MRI/ML Specialist

University of California, San Francisco; San Francisco (CA); On-site; USD 57,000 - 202,000; Full time

Job summary

University of California, San Francisco is seeking a Junior/Assistant/Associate/Full Specialist in the Lupo Lab to apply advanced MRI methods and machine learning to brain tumor patients. The role involves developing imaging and spectroscopic data acquisition, processing, and analysis tools for multimodal data, including segmentation, spectral analysis, and predictive modeling.

The successful candidate will collect, manage, and analyze data, translate developed tools to clinical research, and

Qualifications

• Bachelor’s degree in a related science (biomedical imaging, applied mathematics, engineering, computer science, etc.) or at least four years of research experience.
• Master’s degree (or equivalent) or a bachelor’s degree with three+ years of research experience.
• Master’s degree (or equivalent) or five to ten years of research experience.
• Terminal degree (or equivalent) or ten+ years of research experience.

Responsibilities

• Develop, utilize, and extend imaging and spectroscopic data acquisition, processing, and analysis tools.
• Perform data collection, management, and analysis including image segmentation and spectral analysis.
• Build and train predictive models for multimodal imaging data.
• Translational application of developed tools to brain tumors and other neurological diseases.

Skills

MR imaging

Data analysis

Machine learning

Education

Bachelor's degree in related science

Master’s degree or BS with 3+ years research experience

Master’s degree or 5–10 years research experience (Associate)

Terminal degree or 10+ years experience (Full rank)

Job description

University of California, San Francisco is seeking a Junior/Assistant/Associate/Full Specialist in the Lupo Lab to apply advanced MRI methods and machine learning to brain tumor patients. The role involves developing imaging and spectroscopic data acquisition, processing, and analysis tools for multimodal data, including segmentation, spectral analysis, and predictive modeling.

The successful candidate will collect, manage, and analyze data, translate developed tools to clinical research, and