BRAIN Lab – Junior/Assistant/Associate/Full Specialist

Uc-SAN-Francisco-Academi; San Francisco (CA); On-site; USD 57,000 - 202,000; Full time

Job summary

The UCSF Department of Radiology and Biomedical Imaging seeks a Specialist to join the BRAIN lab, affiliated with ci², developing AI tools for brain MRI including segmentation, longitudinal tracking, and uncertainty quantification.

The role involves preprocessing large MRI datasets, training DL models on HPC clusters, conducting statistical analyses, and communicating findings with neurologists, neuroradiologists, and data scientists. Collaboration across disciplines is essential.

Qualifications

• Bachelor’s degree in neuroscience, biomedical engineering, bioengineering, computer science, physics, or related field.
• Master’s degree (or equivalent) or bachelor’s with 3+ years of research experience.
• Master’s degree (or equivalent) or five to ten years of research experience for Associate rank.
• Terminal degree (or equivalent) or ten+ years of research experience for Full rank.
• Applicants must meet qualifications by hire.
• Applicant materials must list current/pending qualifications upon submission.

Responsibilities

• Curate and preprocess large clinical brain MRI datasets.
• Develop, train, and evaluate deep learning models on HPC clusters.
• Perform statistical analysis of imaging and clinical data.
• Interpret results with clinicians and data scientists.
• Contribute to manuscripts, presentations, and grant reports; maintain reproducible code.

Skills

Python programming

Quantitative analysis

Medical imaging ML

Neuroimaging interest

DL for neuroimaging

PyTorch

Medical image formats

Linux/Git/SLURM

Publications experience

Communication skills

Education

Bachelor’s degree in related science

Master’s degree or equivalent with 3+ years research

Terminal degree or 10+ years research

Tools

nnU-Net

FSL

ANTs

FreeSurfer

Job description

BRAIN Lab – Junior/Assistant/Associate/Full Specialist

The Department of Radiology and Biomedical Imaging at the University of California, San Francisco seeks a Specialist to join the BRAIN lab, which is affiliated with the Center for Intelligent Imaging (ci²) and develops artificial intelligence methods for brain MRI. The lab’s work spans automated segmentation and longitudinal tracking of brain abnormalities (tumors and other lesions), uncertainty quantification for clinical AI, brain MRI foundation models, normative neuroimaging models, and multi-site clinical validation of these tools.

Under the direction of the Principal Investigator (Dr. Andreas Rauschecker), 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; and interpret results with neurologists, neuroradiologists, neurosurgeons, neuro-oncologists, and data scientists. The Specialist will also contribute to manuscripts, presentations, and grant reports, maintain reproducible code, and share technical expertise with lab members.

Required Qualifications:

• Specialists appointed at the Junior rank must possess a baccalaureate degree in a related science (neuroscience, biomedical engineering, bioengineering, computer science, physics, etc.) (or equivalent degree) or at least four years of research experience.
• Specialists appointed at the Assistant rank must possess a master’s degree (or equivalent degree) or a baccalaureate degree (or equivalent degree) with three or more years of research experience.
• Specialists appointed at the Associate rank must possess a master’s degree (or equivalent degree) or five to ten years of research experience.
• Specialists appointed at the Full rank must possess a terminal degree (or equivalent degree) or ten or more years of research experience.
• Applicants must meet all the 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
• Fluency in Python for scientific computing and data analysis
• Experience running computational workloads on high-performance computing clusters
• 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
• Proficiency with deep learning frameworks (e.g., PyTorch) and established neuroimaging tools (e.g., nnU-Net, FSL, ANTs, FreeSurfer)
• Experience with clinical imaging data in DICOM and NIfTI formats, including secure handling of protected health information
• Familiarity with Linux, Git, and cluster job schedulers such as SLURM
• 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

See Table 24B for the salary range for this position. A reasonable estimate for this position is $57,000-$201,700.