Description
Assistant Researcher University of California Los Angeles Requisition Number: JPF11101 The Department of Neurology at the David Geffen School of Medicine at UCLA seeks an Assistant Researcher to lead and develop an innovative research program focused on the biological characterization of psychiatric and neurological disorders through the integration of advanced neuroimaging, molecular biomarkers, clinical phenotyping, and large-scale longitudinal data. The successful candidate will develop and apply cutting-edge computational approaches to investigate disease mechanisms, treatment response, and biological heterogeneity across brain disorders, with a particular emphasis on mood disorders and translational neuroscience. Research activities will include the analysis of multimodal neuroimaging data, integration of molecular and clinical datasets, development of scalable analytical pipelines, and participation in large multisite collaborative initiatives. The candidate will contribute to ongoing studies utilizing advanced MRI methodologies, including diffusion MRI and quantitative neuroimaging techniques, and will collaborate with interdisciplinary teams spanning neuroscience, psychiatry, genetics, biostatistics, and clinical medicine. The position offers opportunities to lead independent research projects, develop new collaborative initiatives, publish scholarly work, pursue extramural funding, and mentor trainees. Additional Duties Designing and conducting independent research studies utilizing advanced neuroimaging and multimodal biological data. Developing and maintaining computational pipelines for large-scale data processing and analysis. Integrating neuroimaging, molecular, clinical, and behavioral data to investigate disease mechanisms and treatment outcomes. Collaborating with investigators across UCLA and national research consortia. Preparing manuscripts, grant applications, and scientific presentations. Mentoring students, postdoctoral scholars, and research staff. Contributing to the growth of collaborative translational neuroscience initiatives within the department. Requirements: Qualified applicants should possess a Ph.D. or equivalent doctoral degree in neuroscience, biomedical engineering, psychology, data science, biostatistics, or a related field. Expertise in neuroimaging analysis, computational neuroscience, statistical modeling, and large-scale biomedical data analysis is required. Experience working with longitudinal, multisite, or multimodal datasets is highly desirable. Application Procedure: Application procedure: Apply by submitting your application to our online RECRUIT system at Browse Open Recruitments or Log In – UCLA Academic RECRUIT Screening of applicants will begin immediately and will continue until the position is filled. Document requirements Curriculum Vitae – Your most recently updated C.V. Cover Letter (Optional) Statement of Research (Optional) Reference check authorization release form – Complete and upload the reference check authorization release form The posted UC salary scales set the minimum pay determined by rank and step at appointment. See T13 B The salary range for this position is $96,700-$114,300 The shared values of the DGSOM are expressed in the Cultural North Star, which was developed by members of our community and affirms our unswerving commitment to doing what’s right, making things better, and being kind. These are the standards to which we hold ourselves, and one another. Please read more about this important DGSOM program at Medical School | Cultural North Star | UCLA Medical School All aspects of searches are confidential and all candidates are expected to review and abide by UC Regents Policy 1111 on Statement on Ethical Values and Standards of Conduct The University of California is committed to creating and maintaining a community dedicated to the advancement, application, and transmission of knowledge and creative endeavors through academic excellence, where all individuals who participate in University programs and activities can work and learn together in a safe and secure environment, free of violence, harassment, bullying and other demeaning behavior, discrimination, exploitation, or intimidation. With this commitment as well as a commitment to addressing all forms of academic misconduct, UCLA conducts targeted employment reference checks for finalists to whom departments or other hiring units would like to extend formal offers of appointment into Academic Senate faculty positions. The targeted employment reference checks involve contacting the finalists’ current and prior places of employment to ask whether there have been substantiated findings of misconduct that would violate the University’s Faculty Code of Conduct. To implement this process, UCLA requires all applicants for Academic Senate faculty positions to complete, sign, and upload the form entitled ‘Authorization to Release Information’ into RECRUIT as part of their application. If the applicant does not include the signed authorization to release information with the application materials, the application will be considered incomplete. As with any incomplete application, the application will not receive further consideration. Although all applicants for faculty recruitments must complete the entire application, only finalists (i.e., those to whom the department or other hiring unit would like to extend a formal offer) considered for Academic Senate faculty positions will be subject to targeted employment reference checks. To apply, please visit: https://recruit.apo.ucla.edu/JPF11101 The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy, see: UC Nondiscrimination & Affirmative Action Policy, https://policy.ucop.edu/doc/4000376/DiscHarassAffirmAction jeid-c779ff2b29567e40ac75c635cbcb94b1





