Research Engineer

Job Summary The USC Mark and Mary Stevens Neuroimaging and Informatics Institute (INI) is recruiting a full-time Research Engineer to work on projects related to neurodegenerative disorders. Responsibilities Assist with data processing, analysis, and application of machine learning, generative AI, and ensemble integration methods to neuroimaging datasets. Develop data visualization tools to facilitate interpretability of models. Contribute abstracts, conference papers, and manuscripts; assist in manuscript preparation. Design, develop, and test materials and prototypes for research projects. Investigate feasibility of scientific principles and concepts for potential inventions and projects. Analyze and present data to inform experimental direction. Work with large-scale databases to identify trajectories of brain decline. Document methods publicly on GitHub and train coworkers in methodologies. Supervise assigned student workers to ensure project completion. Qualifications Master’s degree in Electrical Engineering, Biomedical Engineering, Computer Science, or Data Science. At least 3 years of experience in neuroimaging. Strong understanding of machine learning, deep learning for biomedical imaging, computer vision, generative AI, ensemble integration, statistics, and image processing. Experience working with large‑scale neuroimaging and genetics data. Excellent oral and written communication skills, demonstrated through conference contributions and presentations. Experience designing, developing, and maintaining pipelines or tools using machine learning and deep learning for neuroimaging applications. Knowledge of data visualization and analytics tools and libraries. Preferred Qualifications 5+ years of experience in AI applications for neuroimaging. Experience with aging‑brain projects predicting brain structure as a function of sociodemographic and genetic factors. Experience building quality‑assessment tools for raw or segmented MR images using machine learning and deep learning. Experience generating synthetic data with generative models for harmonizing imaging data from multiple sources or sites. Knowledge of ML models for classification and regression, including CNNs, RNNs, autoencoders, GANs, diffusion models, and vision transformers. Proficiency writing and distributing code in Python, R, MATLAB, C/C++, or similar languages. Experience with ML frameworks such as PyTorch, TensorFlow, Keras, etc. Contributions to conferences such as ISBI, ISMRM, OHBM, MICCAI, SIPAIM, EMBC, or related events. Compensation Annual base salary range: $89,291.89 – $99,000.00. Equal Opportunity 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. #J-18808-Ljbffr University of Southern California