Data Analyst II (Dr Mayberg's Lab) - Neurology

The Center for Advanced Circuit Therapeutics (C-ACT) at The Icahn School of Medicine at Mount Sinai is seeking a Data Analyst II to perform toolbox development for multimodal imaging processing, including structural, diffusion, and functional brain images. Specific technical skills are required, including Python programming for automated imaging data preprocessing, image visualization, and implementing statistical analysis. Projects involve the 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 multidisciplinary 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 centralized research unit embedded within the Clinical Center for Neuromodulation, and it is based at Mount Sinai West. The Center supports research and clinics using imaging, invasive and noninvasive electrophysiology, performance and behavioral metrics, computational modeling, and clinical and research bioinformatics involving surgical and nonsurgical 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. Developing and testing next-generation implantable devices, computation-based algorithms for treatment delivery, and clinical piloting of novel applications will complement ongoing evidence-based care for established uses of DBS and other neuromodulation strategies such as MR-guided focus ultrasound and TMS. 

• Programming to develop an automated image preprocessing pipeline
• Programming to implement the existing surgical targeting algorithm
• Programming to implement treatment selection imaging biomarkers
• Multimodal imaging (MRI, CT, and PET) data preprocessing
• Real-time imaging data processing in the operating room and validate the results for DBS surgical targeting applications
• Perform other related duties

• Bachelors degree in computer science, statistics and/or related field required, or combination of equivalent work experience and education. Masters degree in relevant field of study preferred (e.g., statistics, epidemiology, computer science, etc.). Focusing on medical image analysis and programming related to neuroimaging.
• 3+ years of analytics experience including report development and database application/management experience, preferably in a large medical center or healthcare environment

• Candidates with experience coding in Python, Matlab, and/or shell script, and image processing software packages (Afni, MRTrix, FLS, SPM, Freesurfer, etc.)

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