Research Engineer

The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Center for Integrative Connectomics (CIC, ) 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. Preferred Education: Doctorate Preferred Experience: 5 years Preferred Skills: Proven experience achieving results in a scientific research environment. Deep knowledge base in specific field. 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. 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 View phone number on click.appcast.io, or by email at View email address on click.appcast.io. Inquiries will be treated as confidential to the extent permitted by law. Notice of Non-discrimination Employment Equity Read USC’s Clery Act Annual Security Report USC is a smoke-free environment Digital Accessibility Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying. #J-18808-Ljbffr