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The Center for Advanced Circuit Therapeutics (C-ACT) at The Icahn School of Medicine at Mount Sinai is seeking a Research Assistant to perform quantitative analyses of structural, diffusion, and functional brain images. Specific projects include preprocessing of resting state functional MRI and diffusion-weighted images, functional and structural connectivity analyses, and image segmentation and quantitative volumetric. Projects involve development and implementation of treatment selection biomarkers, individualized multimodal surgical targeting methods, longitudinal outcome metrics across a wide range of neuropsychiatric disorders including Depression, OCD, Movement disorders, and Epilepsy. This is an excellent opportunity to participate in cutting-edge imaging research as a member of a multidiscilplinary research team of technical and clinical experts with access to state-of-the-art imaging equipment.
This individual will be jointly supervised by Dr. Ki Sueng Choi, imaging leader at C-ACT, and Dr. Helen Mayberg, Director of C-ACT, and will have the opportunity to interact with a diverse team of investigators with complementary expertise in neuroimaging, psychiatry, neurology, neurosurgery, neuroengineering, computational neuroscience, and bioinformatics.
The Center for Advanced Circuit Therapeutics (C-ACT) is a new centralized research unit, imbedded within the Clinical Center for Neuromodulation to be based at Mount Sinai West in September 2018. The Center supports research activities using imaging, invasive and noninvasive electrophysiology, performance and behavioral metrics, computational modeling, and clinical and research bioinformatics involving surgical neuromodulation patients. This core facility will enable development and testing of new brain-tuning strategies to accelerate the delivery of state-of-the art individualized care for patients with advanced neuropsychiatric disorders—be it those where brain stimulation therapies are already clinically available, such as Parkinson’s disease and epilepsy, or more experimental applications such as depression, OCD, eating disorders, and addiction. Development and testing of next-generation implantable devices, computation-based algorithms for treatment delivery, and clinical piloting of novel applications will complement ongoing evidenced based care for established uses of DBS and other neuromodulation strategies.
- Data quality control and archiving/use of database server
- Multidisciplinary imaging data (MRI, CT, and PET) preprocessing and implementation of analytic and statistical methods using existing image analysis software packages
- Running automated imaging pipelines for testing predefine imaging biomarkers in clinical practice
- Real time imaging data processing in the operating room for DBS surgical targeting applications
- Education: Bachelor’s Degree in either Computer Science, Engineering, Neuroscience, or a related field, with focus on medical image analysis related to neuroimaging
- Experience with coding in shell script and/or use of JAVA, Python, and image processing software packages (Afni, FLS, SPM, etc.)
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