Open date: May 5, 2023
Most recent review date: Tuesday, Oct 31, 2023 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Sunday, Dec 31, 2023 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
The Brain Tumor Imaging Lab at UCLA is seeking motivated, exceptional Project Scientist with an established background brain MRI and bioengineering research as well as proficiency in algorithm development, image and signal processing, and statistical analysis with an interest in clinical validation and application. Current projects involve the analysis of multimodal MRI data of brain tumor and movement disorder patients aimed at improving diagnostic accuracy, treatment planning, and predicting treatment response and patient outcome. The ideal candidate will have experience in using existing neuroimaging and signal processing tools and implementing in-house data processing toolboxes and pipeline with an interest in developing biomarkers for brain tumors, movement disorders, and other neurological diseases.
• Lead independent research projects and support collaborative projects
• Process multimodal data: structural MRI, fMRI, CEST, diffusion MRI, perfusion MRI, EEG, MEG, etc.
• Design, implement, and test novel MRI sequences and reconstruction algorithms
• Design, implement, and test novel post-processing methods and prediction models
• Author scientific publications and grant proposals
• Supervise trainees and maintain research infrastructure
• Comply with UCLA guidelines for lab safety, animal research, and human subject research
• Develop and update standard operating procedures and best practices for research projects
• Communicate effectively with team members, present findings and progress both verbally and in writing
About THE LAB:
The incumbent will work closely with Dr. Jingwen Yao and a cross-disciplinary team to develop and translate novel MRI techniques for brain tumors, movement disorders, epilepsy, and other brain diseases. The research involves different aspects of biomarker development, including image acquisition and reconstruction, post-processing, quantitative image analysis, pre-clinical investigation, and clinical translation and evaluation. As a member of the lab, the candidate will participate in studies using multimodal neuroimaging techniques (CEST, QSM, DTI, fMRI, etc.) to explore the physiological and pathological processes involved in neurological disorders. Potential projects include tumor-associated macrophage imaging in glioma, metabolite and iron quantification in Huntington’s disease, advanced imaging techniques for personalized targeting of DBS/MRgFUS in movement disorders and epilepsy.
The UCLA Radiology Department offers access to 40+ clinical MRI scanners across various imaging centers/clinics in the greater Los Angeles region. At the main campus of UCLA, there are 7 clinical/research Siemens scanners at 3T and 1.5T, one clinical GE 3T scanner, as well as one 3T Siemens scanner exclusively for research purposes. In addition, a Siemens MR-PET scanner for clinical/research and a small animal Bruker 3T scanner with high gradient performance will be installed in late 2023. With strong interdisciplinary links between Radiology and various campus and clinical departments, the lab provides a unique opportunity to work with a diverse group of engineers, basic scientists, radiologists, neurologists, and neurosurgeons.
To Apply: Email (1) an updated CV, (2) statement of research, (3) statement on contributions to equity, diversity, and inclusion (EDI), and (4) contact information for 3 references at https://recruit.apo.ucla.edu/JPF08415. Only applicants that apply through this website will be considered.
This appointment is subject to amendment based on any changes to applicable collective bargaining agreements.
The posted UC salary scales (https://www.ucop.edu/academic-personnel-programs/_files/2022-23/july-2022-salary-scales/t37-b.pdf) set the minimum pay determined by rank and step at appointment. See Table 37B. The salary range for this position is $68,400 - $180,200
Cultural North Star. 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 https://medschool.ucla.edu/cultural-north-star.
Ph.D. in biomedical physics, biomedical engineering, neuroscience, computer science, or related discipline
Curriculum Vitae - Your most recently updated C.V.
Cover Letter (Optional)
Statement of Research
Statement of Teaching (Optional)
Statement on Contributions to Equity, Diversity, and Inclusion - An EDI Statement describes a faculty candidate’s past, present, and future (planned) contributions to equity, diversity, and inclusion. To learn more about how UCLA thinks about contributions to equity, diversity, and inclusion, please review our EDI Statement FAQ document.
Reference check authorization release form - Complete and upload the reference check authorization release form
Misc / Additional (Optional)
- 3-5 letters of reference required
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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/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.