A Neuroimaging Data Analyst processes, analyzes, and interprets brain imaging data from techniques like MRI, fMRI, and PET. They develop and apply computational methods to extract meaningful insights from neuroimaging studies, often working with neuroscientists, clinicians, and researchers. Their role involves scripting, statistical analysis, and data visualization to support research on brain function, structure, and disorders. Proficiency in programming languages like Python, MATLAB, or R, as well as experience with neuroimaging software (e.g., FSL, SPM, AFNI), is typically required.