Perform pre- and post-processing of MRI/DTI imaging data, curate and quality-control datasets, apply image analysis tools (e.g., FSL, FreeSurfer), use shell scripting and programming to run pipelines, and implement/statistically evaluate machine learning and deep learning models on large neuroimaging datasets while collaborating with the lab to meet project timelines.
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.
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.
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 Parkinson’s disease, studying brain scans from thousands of
patients. We also lead or participate in numerous studies of typical 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.
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 Parkinson’s disease, studying brain scans from thousands of
patients. We also lead or participate in numerous studies of typical 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.
Job Function
The Project Assistant will be in charge of pre/post-processing raw imaging data (MRI,
DTI, etc.) and will assess advanced brain features in a range of psychiatric, neurological
and developmental disorders. Some projects will involve implementing advanced
statistical models including machine learning and deep learning methods to large-scale
brain imaging datasets and biobank data.
The Project Assistant will be in charge of pre/post-processing raw imaging data (MRI,
DTI, etc.) and will assess advanced brain features in a range of psychiatric, neurological
and developmental disorders. Some projects will involve implementing advanced
statistical models including machine learning and deep learning methods to large-scale
brain imaging datasets and biobank data.
The Project Assistant will:
Apply expertise to a range of image processing, curation, quality control, and
computational tools (i.e., FSL, FreeSurfer). Use shell scripting on a regular basis.
Work with the wider lab team to develop realistic but challenging timelines
Apply expertise to a range of image processing, curation, quality control, and
computational tools (i.e., FSL, FreeSurfer). Use shell scripting on a regular basis.
Work with the wider lab team to develop realistic but challenging timelines
Preferred Qualifications
The successful applicant will be a reliable, independent worker with a bachelor’s or
master’s degree in (bio)engineering, computer science, math, statistics, neuroscience,
data science, or a related field is preferred.
The successful applicant will be a reliable, independent worker with a bachelor’s or
master’s degree in (bio)engineering, computer science, math, statistics, neuroscience,
data science, or a related field is preferred.
Computer programming skills in Matlab, Python, R, C++, shell scripting and knowledge
of image analysis software such as FSL or SPM are preferred
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.
neuroimaging research before medical school or an advanced graduate degree.
Preferred Education
Master’s degree in applied statistics or a related field.
Master’s degree in applied statistics or a related field.
Minimum Education: High school or equivalent
Minimum Experience: 1 year Minimum
Field of Expertise: Knowledge of neuroscience/neuroimaging data collection procedures
and some experience with proposal preparation and production of technical documents
The hourly rate range for this position is $25.96- $30.00. When extending an offer of
employment, the University of Southern California considers factors such as (but not limited
to) the scope and responsibilities of the position, the candidate’s work experience,
education/training, key skills, internal peer equity, federal, state, and local laws, contractual
stipulations, grant funding, as well as external market and organizational considerations.
employment, the University of Southern California considers factors such as (but not limited
to) the scope and responsibilities of the position, the candidate’s work experience,
education/training, key skills, internal peer equity, federal, state, and local laws, contractual
stipulations, grant funding, as well as external market and organizational considerations.
Minimum Experience: 1 year
Minimum Field of Expertise: Knowledge of data collection procedures and some experience with proposal preparation and production of technical documents
USC 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, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying.
We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email at [email protected]. Inquiries will be treated as confidential to the extent permitted by law.
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