Research Lab Tech II

The Neural Plasticity and Neurorehabilitation Laboratory (NPNL) of the University of Southern California, directed by Dr. Sook-Lei Liew, is now looking for a highly motivated Research Lab Technician II. The laboratory focuses on using data science and AI approaches to neuroimaging and genetics, using large-scale structural MRIs and behavioral datasets to examine brain-behavior relationships after stroke. The lab also participates in national clinical trials using brain stimulation (e.g., transcranial magnetic stimulation (TMS)) and telerehabilitation to predict and improve stroke outcomes. Research will entail working with a number of research partners worldwide. More information about the NPNL can be found at http://npnl.usc.edu . The ideal candidate should have, or will soon have, a bachelor’s or higher degree in Neuroscience, Computer Science, Biomedical Engineering, or a related field. The successful applicant should be highly motivated, organized, willing to learn, adaptable, detail-oriented, possess strong written and verbal communication skills, and takes initiative. Technical knowledge of neuroimaging and brain anatomy, extensive experience with organizing, maintaining and analyzing large brain imaging datasets, programming expertise with python, Bash and cloud computing, experience with Brain Imaging Data Standards (BIDS) and structural MRI—based neuroimaging software programs (e.g., FreeSurfer, ITKSna) and statistics/machine learning strongly preferred. This position is a full-time, one-year (renewable) position, and can start as early as August 2026. The hourly rate ranges from $25.71 - $31.30. When extending and offer of employment, the University of Southern California considers factors such as (but not limited to) the scope of 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: Associate's degree, Specialized/technical training, Combined experience/education as substitute for minimum education Minimum Experience: 2 years Minimum Field of Expertise: Working knowledge of laboratory equipment and research protocols. Knowledge of computer analysis techniques and ability to provide routine analysis and interpretation of research data. Job ID REQ20178667 Posted Date 08/19/2026 Apply Current employees apply here