Research Engineer

University of Southern California; Los Angeles (CA); On-site; USD 89,000 - 99,000; Full time

Job summary

The University of Southern California is seeking a full-time Research Engineer to support neurodegenerative disorder projects. This role involves data analysis, machine learning, and collaboration in a multidisciplinary environment focused on brain mapping. Candidates should possess a Master’s degree and relevant experience in neuroimaging and AI applications.

Qualifications

• 3+ years of neuroimaging experience required.
• Experience supervising students and developing AI pipelines.

Responsibilities

• Support projects on neurodegenerative disorders.
• Data processing, analysis, and visualization.
• Document methods on GitHub and train team members.

Skills

Machine Learning

Deep Learning

Computer Vision

Generative AI

Statistics

Image Processing

Data Visualization

Communication

Education

Master’s Degree in Electrical Engineering

Master’s Degree in Biomedical Engineering

Master’s Degree in Computer Science

Master’s Degree in Data Science

Tools

PyTorch

TensorFlow

Keras

Job description

Join to apply for the Research Engineer role at University of Southern 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 advanced computational and scientific approaches for brain mapping. The institute's multidisciplinary environment integrates clinical, psychological, and genotypic data with neuroimaging for research in neurology, psychiatry, and developmental neurobiology.

The institute is recruiting a full-time Research Engineer to support projects on neurodegenerative disorders. Responsibilities include data processing, analysis, applying machine learning, generative AI, ensemble methods, data visualization, and manuscript preparation. The role involves working with large databases to analyze brain decline trajectories, documenting methods on GitHub, and training team members. The focus will be on brain mapping in aging and Alzheimer’s disease.

Required Qualifications

• Master’s Degree in Electrical Engineering, Biomedical Engineering, Computer Science, Data Science, with 3+ years of neuroimaging experience.
• Strong knowledge of machine learning, deep learning, computer vision, Generative AI, statistics, and image processing.
• Experience with large-scale neuroimaging and genetics data.
• Excellent communication skills for conference presentations and publications.
• Experience supervising students and developing pipelines/tools using AI for neuroimaging.
• Knowledge of data visualization and analytics tools.

Preferred Qualifications

• Over 5 years of AI application in neuroimaging.
• Experience with aging brain projects and quality assessment tools using ML/DL.
• Experience with synthetic data generation, generative models, and various ML frameworks like PyTorch, TensorFlow, Keras.
• Contributions to relevant conferences.

The salary range is $89,291.89 - $99,000.00, influenced by experience and other factors. The university conducts background screening for all applicants. Minimum education is a Master’s degree with 3 years experience; a PhD and 5+ years are preferred. The role is mid-senior level, full-time, in the field of Engineering and IT within Higher Education.