Research Engineer

University of Southern California; Glendale (CA); On-site; USD 92,000 - 95,000; Full time

Job summary

The University of Southern California is recruiting a full-time Research Engineer to support computational analysis of high‑resolution 3D microscopy data in the CIC/Neuroimaging Institute. You will help with data processing, ML/DL pipeline development, and visualization to interpret models, while contributing to conferences and journal publications.

Under PI supervision, you will document methods on GitHub and assist in training teammates, helping advance brain mapping research with

Qualifications

• Master's degree in a relevant field as listed.
• Strong ML and DL experience for biomedical imaging and vision.
• Experience with large neuroimaging/genetics data.
• Strong communication skills and conference contributions.
• Experience designing pipelines using ML/DL for imaging.

Responsibilities

• Assist with data processing and computational analysis of high‑resolution 3D microscopy data.
• Apply machine learning/AI for image pipeline development and model interpretability.
• Visualize data and contribute to abstracts and publications.
• Document methods publicly on GitHub and train colleagues.

Skills

Machine learning

Deep learning for biomedical imaging

Computer vision

AI integration of neuronal morphology

Statistics and image analysis

Data visualization

Scientific communication

Education

Master's in Biomedical Engineering/CS/Neuroimaging

Master's in Engineering or related field

Job description

The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Center for Integrative Connectomics (CIC, http://cic.ini.usc.edu ) are world leaders in the development of advanced computational and scientific approaches for the comprehensive mapping of brain structure and function. The CIC's unique multidisciplinary environment and cutting-edge resources allow for integration of spatial transcriptomics and connectomics datasets for research questions focused on neuronal cell type vulnerability in neurobiological disease.

The CIC is recruiting a talented full-time Research Engineer to help with various projects on the computational analysis of high resolution 3D microscopy datasets. Under the supervision of the PI, the candidate will assist with data processing, analyzing the data, applying machine learning/AI for image pipeline development, data visualization for interpretability of the models, and submit abstracts and papers to conferences and journal publications.

Designs, develops, and tests materials and prototypes for research projects. Investigates the feasibility of applying specific scientific principles and concepts to potential inventions and projects. Analyzes and presents data as appropriate and makes decisions to further the goals of the experiment. The candidate is expected to provide thorough documentation of methods publicly on GitHub and be comfortable training coworkers in the methodologies.

Required Qualifications

• Master's Degree in Biomedical Engineering/Computer Science/Neuroimaging
• Strong understanding of machine learning, deep learning for biomedical imaging, computer vision, AI and integration of neuronal morphology methods, statistics and image analysis.
• 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.
• 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.

The annual base salary range for this position is $92,211.99 - $95,000. 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.

Minimum Education: Master's degree in Computer Science, Engineering or in related field(s) Minimum Experience: 3 years Minimum Skills: Experience in a laboratory setting conducting scientific research. Excellent written and oral communication skills. Ability to communicate technical information to non-technical audiences.

Minimum Education: Master's degree In Engineering Or in related field(s) Minimum Experience: 3 years Minimum Skills: Experience in a laboratory setting conducting scientific research. Excellent written and oral communication skills. Ability to communicate technical information to non-technical audiences. Preferred Education: Doctorate Preferred Experience: 5 years Preferred Skills: Proven experience achieving results in a scientific research environment. Deep knowledge base in specific field.