Liao Lab - Junior/Assistant/Associate/Full Specialist

Position Description Liao Lab – Junior/Assistant/Associate/Full Specialist The Liao Lab is seeking a Junior, Assistant, Associate, or Full Specialist to support research in advanced magnetic resonance imaging (MRI), with a focus on structural, quantitative, and diffusion MRI. The Specialist will contribute to MRI research projects involving image reconstruction, image processing, quantitative analysis, and data management. Responsibilities will include processing and analyzing MRI data; implementing and maintaining image analysis pipelines; performing quality control; organizing and documenting research data and results; assisting with technical development and validation of MRI methods; and contributing to the preparation of figures, presentations, abstracts, and manuscripts. The Specialist will work closely with the principal investigator, postdoctoral scholars, graduate students, research staff, and clinical or engineering collaborators. The position may also involve coordinating data analysis across collaborative research projects and supporting the development of reproducible research workflows. Required Qualifications Specialists appointed at the Junior rank must possess a baccalaureate degree (or equivalent degree) in biomedical engineering, electrical engineering, computer science, medical imaging, neuroscience, applied mathematics, physics, or a closely related field, 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 Prior experience with medical image processing, quantitative data analysis, or scientific computing. Prior experience contributing to research presentations, abstracts, manuscripts, or other scholarly products. Programming experience in MATLAB, Python, or a comparable scientific programming language. Experience with MRI data, including structural MRI, quantitative MRI, diffusion MRI, or related neuroimaging data. Familiarity with commonly used neuroimaging or medical image analysis software, such as FSL, FreeSurfer or similar tools. Experience developing reproducible image-processing or data-analysis pipelines. Experience with Linux-based computing environments, high-performance computing systems, version control, or large imaging datasets. Familiarity with MRI physics, image reconstruction, statistical analysis, or machine-learning methods. Ability to work independently and collaboratively within a multidisciplinary research environment. Strong organizational, analytical, communication, and documentation skills. Independent specialized research. 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: Affi… San Francisco, CA #J-18808-Ljbffr University of California , San Francisco