Research Engineer

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.

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. Preferred Education: Doctorate Preferred Experience: 5 years Preferred Skills: Proven experience achieving results in a scientific research environment.

Deep knowledge base in specific field. 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.

USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety.

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