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. LONIâs 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.
The Imaging Genetics Center (http://igc.ini.usc.edu) in Marina del Rey, California is looking for talented full-time Project Assistant to perform research including analysis of brain images. The 30-member team at IGC is the hub of the ENIGMA project (http://enigma.ini.usc.edu/), which integrates brain imaging data from 185 institutions around the world. We are actively involved in some of the largest-ever brain imaging studies of diseases such as Alzheimer's disease, HIV/AIDS, schizophrenia, depression, bipolar illness, and Parkinsonâs disease, studying brain scans from thousands of patients. We also lead or participate in numerous studies of normal development, genetics, traumatic brain injury, and brain connectivity. Our laboratory writes and applies novel computational algorithms to study how major psychiatric and neurological diseases affect brain structure, function, and connectivity.
The Project Assistant will be in charge of pre/post-processing raw imaging data (MRI, DTI, etc.) and will assess brain connectivity in a range of neurological and psychiatric disorders â including Alzheimer's, bipolar disorder, brain trauma, and childhood developmental disorders. Some projects will involve implementing machine learning and deep learning methods to large-scale brain imaging datasets and biobank data.
Will become an expert with image processing and other computational tools (i.e., FSL)
Will use shell scripting on a regular basis
Will work with team to develop realistic but challenging time linesÂ
The successful applicant will be a reliable, independent worker with a bachelorâs or masterâs degree in engineering, computer science, math, statistics, neuroscience, or a related field
Computer programming skills in Matlab, Python, R, C++, shell scripting and knowledge of image analysis software such as FSL or SPM are preferred
Knowledge of advanced statistics or genetics is a plus
This full-time position is ideal for candidates looking to spend a couple of years doing neuroimaging research before medical school or an advanced graduate degree.Â
Masterâs degree in applied statistics or a related field.
Minimum Education: High school or equivalentMinimum Experience: 1 yearMinimum Field of Expertise: Knowledge of data collection procedures and some experience with proposal preparation and production of technical documents
USC is the leading private research university in Los Angeles—a global center for arts, technology and international business. With more than 47,500 students, we are located primarily in Los Angeles but also in various US and global satellite locations. As the largest private employer in Los Angeles, responsible for $8 billion annually in economic activity in the region, we offer the opportunity to work in a dynamic and diverse environment, in careers that span a broad spectrum of talents and skills across a variety of academic and professional schools and administrative units. As a USC employee and member of the Trojan Family—the faculty, staff, students, and alumni who make USC a great place to work—you will enjoy excellent benefits, including a variety of well-being programs designed to help individuals achieve work-life balance.