Junior/Assistant/Associate/Full Specialist

About the Role

The Department of Radiology and Biomedical Imaging at the University of California, San Francisco seeks a Specialist to join the BRAIN lab. The lab develops artificial intelligence methods for brain MRI, focusing on automated segmentation, longitudinal tracking of brain abnormalities, uncertainty quantification for clinical AI, brain MRI foundation models, normative neuroimaging models, and multi-site clinical validation.

Key Responsibilities

Under the direction of the Principal Investigator, the Specialist will:

• Curate and preprocess large clinical brain MRI datasets.
• Develop, train, and evaluate deep learning models on high-performance computing clusters.
• Perform statistical analysis of imaging and clinical data.
• Interpret results with neurologists, neuroradiologists, neurosurgeons, neuro-oncologists, and data scientists.
• Contribute to manuscripts, presentations, and grant reports.
• Maintain reproducible code.
• Share technical expertise with lab members.

Requirements & Tech Stack

• Python for scientific computing and data analysis
• Deep learning frameworks (e.g., PyTorch)
• Established neuroimaging tools (e.g., nnU-Net, FSL, ANTs, FreeSurfer)
• Experience with clinical imaging data in DICOM and NIfTI formats
• Secure handling of protected health information
• Familiarity with Linux, Git, and cluster job schedulers like SLURM
• Experience running computational workloads on high-performance computing clusters

Qualifications

• Junior Specialist:
• Baccalaureate degree in a related science (neuroscience, biomedical engineering, bioengineering, computer science, physics, etc.) or equivalent.
• OR at least four years of research experience.
• Assistant Specialist:
• Master’s degree or equivalent.
• OR baccalaureate degree with three or more years of research experience.
• Associate Specialist:
• Master’s degree or equivalent.
• OR five to ten years of research experience.
• Full Specialist:
• Terminal degree or equivalent.
• OR ten or more years of research experience.
• Applicants must meet all qualifications by the time of hire.
• Applicant materials must list current and/or pending qualifications upon submission.

Preferred Qualifications

• Research experience with brain MRI data.
• Demonstrated experience in quantitative data analysis.
• Prior research experience applying artificial intelligence or machine learning to medical imaging.
• Strong interest in neuroscience and neuroimaging.
• Experience applying deep learning specifically to neuroimaging, particularly brain tumor imaging.
• Publications or conference presentations in medical imaging or neuroimaging.
• Ability to work both independently and within a multidisciplinary team, with strong written and oral communication skills.

Document Requirements

• Cover Letter
• Curriculum Vitae - CV must clearly list current and/or pending qualifications.
• Statement of Research