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[Apologies for multiple posting] The Center for Interdisciplinary Brain Sciences Research (CIBSR) in the department of Psychiatry at Stanford University School of Medicine is seeking a full-time Research Assistant (Non-Clinical) to help with analyzing large-scale neuroimaging (fMRI/NIRS/EEG) and behavioral datasets from both healthy and patient populations. Responsibilities will include: -Developing software/scripts to implement algorithms for data control, data preprocessing/analysis, database management and coordinating data-sharing initiatives -Developing/running machine learning algorithms to better understand high-dimensional datasets -Assisting in analyzing research data using specific fMRI Neuroimaging programs and/or software (e.g., FSL, AFNI). -Helping with designing and developing novel neuroimaging paradigms for data collection -Collecting new neuroimaging/behavioral data Applicants should have: -B.S. (or higher) in electrical engineering, biomedical engineering, computer science, or other related scientific fields -Strong programming skills in Python, Matlab, or similar languages. -Experience with data science related projects -Prior research experience (preferred) -Experience with UNIX Operating systems (e.g., Linux, Mac OSX) and shell scripting (preferred) General Info: -The applicant will work closely with the team of faculty, post-docs, and research coordinators to track project progress, meet deadlines, anticipate project needs and communicate with project collaborators outside of the lab, train and supervise undergraduate students to assist with data processing, and train other staff as needed. -May require extended or unusual work hours based on research requirements and business needs. Salary and Anticipated Start Date: -Salary is competitive and commensurate with experience/educational qualifications. Anticipated Start Date is immediate. Application details: - Please email Manish Saggar ([log in to unmask]) to apply, please include a CV including the names of 3 references with your inquiry.