Research Engineer

About the role

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.

Responsibilities

• Data processing and analysis
• Application of machine learning, generative AI and ensemble integration methods to neuroimaging datasets
• Data visualization for interpretability of models
• Submission of abstracts and papers to conferences
• Assistance in manuscript preparation
• Working with large scale databases to identify and provide trajectories of brain decline
• Documentation of methods publicly on GitHub
• Training coworkers in the methodologies
• Designing, developing, and testing materials and prototypes for research projects
• Investigating the feasibility of applying specific scientific principles and concepts to potential inventions and projects
• Analyzing and presenting data as appropriate and making decisions to further the goals of the experiment

Requirements

• Master’s Degree in Electrical Engineering/Biomedical Engineering/Computer Science/Data Science
• 3+ years of experience in neuroimaging
• Strong understanding of machine learning, deep learning for biomedical imaging, computer vision, Generative AI and ensemble integration of artificial intelligence methods, statistics and image processing
• Experience working with large-scale neuroimaging and genetics data
• Proficiency in oral and written communication as determined by contributions to scientific conferences and related presentations
• Supervise assigned student workers for completion of a project
• Experience in designing, developing and maintaining pipelines/tools using machine learning and deep learning for neuroimaging applications
• Knowledge about data visualization and various data analytics tools and libraries

Qualifications

• 5+ years of experience in applications of AI in neuroimaging
• Experience in working on projects related to aging of the brain to predict the structure of the brain as a function of sociodemographic and genetic factors
• Experience building raw or segmented MR image quality assessment tools using machine learning and deep learning
• Experience with synthetic data generation using generative models for harmonization of imaging data from multiple sources/sites using deep generative networks
• Knowledge about ML models for classification and regression, deep learning networks like CNN’s, RNN’s, autoencoders and generative models like GANs, diffusion models, vision transformers
• Experience writing and distributing code in Python, R, matlab, C/C++ or similar languages
• Experience with ML frameworks such as PyTorch, Tensorflow, Keras, etc.
• Contribution to ISBI, ISMRM, OHBM, MICCAI, SIPAIM, EMBC or other AI in medical imaging and related conferences

Benefits

The annual base salary range for this position is $89,291.89 - $99,000.00.