Postdoctoral Fellow: Imaging & Neuromodulation Targets

Mount Sinai; New York (NY); On-site; USD 73,000 - 80,000; Full time

Job summary

Mount Sinai Health System is seeking a highly qualified researcher to advance multimodal imaging for neuromodulation therapies such as DBS, TMS, and LIFU. You will identify network biomarkers, guide targeting, and predict clinical outcomes, collaborating with clinicians on decision support.

The ideal candidate holds a PhD and has strong MRI processing, ML, and coding skills. This role focuses on research activities within a leading academic medical system in New York.

Qualifications

• Ph.D. degree in Neuroscience, Bio & Brain Science, Data Science, Computer Science, or Computer Engineering.
• Excellent coding skills in Python, Matlab, and Shell scripting.
• Strong experience in functional and structural MRI image processing and ML-based analysis.
• Familiarity with multimodal imaging software and image statistics.

Responsibilities

• Multimodal image preprocessing to identify imaging biomarkers for various neuromodulation therapies.
• Establish image-guided neuromodulation targeting.
• Collaborate with a clinician to provide high-level research support for clinical decision-making.
• Apply machine learning approaches to characterize biomarkers and predict targets, circuits, and outcomes.

Skills

MRI image processing

Machine learning

Python

Matlab

Shell scripting

Image analysis

Education

Ph.D. in Neuroscience or related field

Tools

FSL

AFNI

MRTRIX

FREESURFER

Job description

Mount Sinai Health System is seeking a highly qualified researcher to advance multimodal imaging for neuromodulation therapies such as DBS, TMS, and LIFU. You will identify network biomarkers, guide targeting, and predict clinical outcomes, collaborating with clinicians on decision support.

The ideal candidate holds a PhD and has strong MRI processing, ML, and coding skills. This role focuses on research activities within a leading academic medical system in New York.