BRAIN Lab - Junior/Assistant/Associate/Full Specialist

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 (ci) 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.

Please click here to apply with a cover letter, CV, and 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: Affirmative Action and Nondiscrimination in Employment