BRAIN Lab – Junior/Assistant/Associate/Full Specialist

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

Job summary

UCSF in San Francisco seeks a Specialist to join the BRAIN Lab, affiliated with ci², to advance AI for brain MRI. You will curate large clinical MRI datasets, train deep learning models on HPC clusters, and analyze imaging and clinical data in collaboration with neurologists and radiologists.

The role includes contributing to manuscripts, presentations, and grant reports while maintaining reproducible code and sharing expertise with lab members.

Qualifications

• Bachelor's degree in neuroscience, biomedical, bioengineering, CS, physics, or related field, or equivalent research experience.
• Master’s degree or equivalent with three+ years of research experience; higher ranks require more experience.
• Demonstrated experience with brain MRI data and quantitative analysis.
• Experience applying AI/ML to medical imaging; strong Python skills and HPC use.

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

Skills

Python

Deep learning

Neuroimaging

Linux

Git

SLURM

PyTorch

nnU-Net

FSL

FreeSurfer

Education

Bachelor's degree in a related science

Master’s degree or equivalent with >3 years of experience

Terminal degree or 10+ years experience

Tools

PyTorch

nnU-Net

FSL

ANTs

FreeSurfer

Linux

Git

SLURM

Job description

Position 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.

Document Requirements

• Cover Letter


• Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).


• Statement of Research

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• “Misconduct” means any violation of the policies or laws governing conduct at the applicant’s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer.


• UC Sexual Violence and Sexual Harassment Policy


• UC Anti-Discrimination Policy


• APM - 035: Aff…

San Francisco, CA