Director Computational Neuroscience Jobs (NOW HIRING)

The Center for Advanced Circuit Therapeutics (C-ACT) at The Icahn School of Medicine at Mount Sinai is seeking an Associate Researcher 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 the development and implementation of treatment selection biomarkers, individualized multimodal surgical targeting methods, and 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 new centralized research unit, embedded within the Clinical Center for Neuromodulation, Mount Sinai West. 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 evidence-based care for established uses of DBS and other neuromodulation strategies. 

C-ACT is located at Mount Sinai West, Midtown West Side in New York City. 

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Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "Best Children's Hospitals" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

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• Bachelors or Masters degree in science or related field required

The candidate should have a bachelor's degree in computer science, Engineering, Neuroscience, or a related field, with a focus on medical image analysis in neuroimaging. Candidates with experience coding in shell script and/or use of JAVA, Python, and image processing software packages (Afni, FLS, SPM, etc.)

Compensation Statement

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $58,661.00 - $76,954.05 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Non-Bargaining Unit, IDE - Radiology BMEII - ISM, Icahn School of Medicine, Radiology

• Data quality control and archiving/use of the database server
• Multidisciplinary imaging data (MRI, CT, and PET) collection, preprocessing, and implementation of analytic and statistical methods using existing image analysis software packages 
• Running automated imaging pipelines for testing predefined imaging biomarkers in clinical practice 
• Real-time imaging data processing in the operating room for DBS surgical targeting applications
• Statistical analysis of multimodal imaging data for surgical targeting and parameter optimization for deep brain stimulation of neurological and psychiatric disorders.