The Department of Psychiatry at Stanford University School of Medicine, is looking for Research Software Developer. This is an exciting opportunity to work on an NIH-funded project that use advanced imaging techniques to understand brain networks and their functions across psychiatric disorders. The successful candidate will have as a primary focus the collaborative design and implementation of multivariate pattern classification methods for functional and structural MRI analyses acquired on patients with a range of mood or anxiety disorders. The candidate will also participate in all other aspects of data management and analysis related to lab projects, including basic programming support for ongoing analyses, data archiving and management of the lab computer network. Since a goal of this work is to create novel and creative ways to analyze neuroimaging data to provide basic insight into the brain mechanisms of psychiatric disorders, the successful candidate will be encouraged to exercise their creativity in achieving these goals, as well as actively contribute to manuscript preparation.

The qualified candidate will have a Bachelor's degree in Biomedical Engineering, Computer Science, Statistics, Physics, Neuroscience, Psychology, or related field; an advanced degree in one of these fields is preferred. Excellent organizational, interpersonal, and oral and written communication skills are required. No formal experience is necessary, but prefer candidates with academic or industry experience with data and signal processing particularly as it relates to functional or structural MRI data processing. Strong computer background and expert use of scripting, Matlab, and other programming skills required. Experience with multivariate pattern classification methodology is strongly preferred. Experience with the acquisition of MRI data, complex physiological monitoring, signal/data processing, familiarity with MRI and fMRI data analysis, or neuroanatomy are all desirable.