University of Southern California Project Assistant in Los Angeles, California
Project AssistantApply (https://usc.wd5.myworkdayjobs.com/ExternalUSCCareers/job/Los-Angeles-CA---Health-Sciences-Campus/Project-Assistant_REQ20106290/apply) Keck School of Medicine Los Angeles, California
The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Laboratory of Neuro Imaging (INI, www.ini.usc.edu) are world leaders in the development of advanced computational and scientific approaches for the comprehensive mapping of brain structure and function. LONI’s unique multidisciplinary environment and cutting edge resources allow for integration of clinical, psychological and genotypic information with neuroimaging phenotypes for research questions in neurology, psychiatry and developmental neurobiology.
Dr. Duncan is an Assistant Professor of Neurology, Neuroscience, and Biomedical Engineering at LONI. Her work combines electrical engineering, mathematics, and neurology. She has focused on developing and applying novel mathematical tools, such as nonlinear factor analysis, to intracranial EEG data for applications such as the detection of seizure onset as well as resting state networks. She has also developed novel dimensionality reduction techniques to study Alzheimer’s disease using MRI data. Her current work focuses on developing new analytic tools for multimodal data to study posttraumatic epilepsy and identify biomarkers of epileptogenesis as part of the Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx). The innovative mathematical and statistical techniques that she has developed show significant, promising contributions to visualize complex associations among multiple variables. Her lab works on developing large-scale, multimodal data repositories, such as the Data Archive for the BRAIN Initiative (DABI) and the COVID-19 Data Archive (COVID-ARC). She has also developed and used virtual and augmented reality technology for both data visualization and interaction.
The project assistant will work on EpiBioS4Rx, which is a large-scale study of post-traumatic epilepsy in human patients and a preclinical rodent model. The ideal candidate will have background in imaging analysis to facilitate the discovery of biomarkers of epileptogenesis following traumatic brain injury. The project assistant will frequently work with team members and collaborators to apply data science and machine learning methods to identify biomarkers of post-traumatic epilepsy. The project assistant will be responsible for coordinating the organization of neuroimaging data obtained from several international sites. The project assistant will perform quality control checks and manual review of all rodent imaging data, including structural, functional, and diffusion-weighted imaging. The project assistant will also be responsible for documenting and reporting quality control data for further analysis. The project assistant will assist in preprocessing and analysis of the data using neuroimaging analysis tools, such as FSL, CONN Toolbox, FreeSurfer, and other applicable software. The project assistant will also work on the development of automated pipelines for various types of rodent imaging analysis, including lesion segmentation.
Minimum education: BS degree in biology, neuroscience, or related field
Experience with rodent image data analysis
Experience with MRI segmentation
Minimum Education: High school or equivalent Minimum Experience: 1 year Minimum Field of Expertise: Knowledge of data collection procedures and some experience with proposal preparation and production of technical documents
REQ20106290 Posted Date: 09/12/2021