Data Analyst in Preclinical Systems Neuroscience

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You: - Robust computer capabilities, analytical thinking, and experience with time series and medical images - Recently completed undergraduate or graduate studies, and are seeking an academic job, or - Have experience as a software engineer in a professional setting, and desire exposure to research, or - Aspire to enroll in grad school, but require some lab experience An amazing place to work - Lee lab at Stanford University, https://llab.stanford.edu/ - Department of Neurology and Neurological Sciences, Stanford, California, USA Example Projects - Transition from optogenetic fMRI to mechanogenetic functional ultrasound - Examination of circuit mechanisms related to neurological disorders including Parkinson’s, Alzheimer’s, autism, epilepsy, empathy circuits, and behavior - Study of whole brain pathology, immune system, circuit function relations - Computational modeling of whole brain circuits, machine learning A supportive team - Dedicated full-time administrative associate - Experts ready to assist: Lab manager, Data scientist, MRI physicist, Wet lab assistant - Friendly and collaborative colleagues – research scientists, post-docs, graduate students Responsibilities - Analysis of EEG signals - Analysis of fMRI data - Statistical analysis - Script writing for analysis pipelines - Assistance in manuscript writing - Literature reviews of analysis methodologies Requirements - Bachelor's degree (minimum educational requirement) - Skills in software, engineering, signal processing, and/or IT - Experience in medical image analysis - Proficiency in Python and Matlab - Basic understanding of statistics Benefits - Health Care Plan (Medical, Dental & Vision) - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off (Vacation, Sick & Public Holidays) - Training & Development opportunities - Wellness Resources