Stanford University has an opening for talented and enthusiastic candidates with strong computational and programming skills. This is an exciting opportunity to work with a multidisciplinary research team (http://scsnl.stanford.edu) on a wide range of studies of human brain function and dysfunction. The successful candidate will assist lab members with neuroimaging data analysis and data organization and management. Successful candidates will have opportunities to develop and apply novel multimodal data analysis techniques and to co-author research publications. Stanford offers a highly competitive salary with excellent health and retirement benefits. A minimum committment of two-years is required. Please email a CV, a statement of research interests and career goals, and contact information for three references to scsnl.stanford+quantitative@gmail.com

Qualifications:
Bachelors or Masters in Science required. Strong background in biomedical engineering, computer science, physics, mathematics, statistics, computational neuroscience, quantitative psychology, or related subjects is required. Experience with Matlab, Python, R, signal and image processing, machine learning, statistics, databases, Linux, and shell scripting is required. Experience in neuroimaging/neural data analysis is desired. Excellent organizational and interpersonal communication skills are required.