Postdoctoral Fellow, Computational Psychiatry & Neurotech

Mount Sinai Morningside; New York (NY); On-site; USD 74,692 - 82,740; Full time

Job summary

Mount Sinai Morningside in New York City invites applications for a research-focused role within the PREDiCTOR initiative. The project combines behavioral measures and computational methods to define clinical signatures for individualized treatment and outcome prediction in mental health disorders.

The pilot study examines safety and mechanisms of deep brain stimulation in the SNr for patients with treatment-resistant schizophrenia, including DBS programming, postoperative care, and home-based

Qualifications

• Education in a relevant field (MD/PhD or equivalent).
• 1-2 years of research experience in neuroscience or computational psychiatry.
• Proficiency in Python or MATLAB.
• Strong data analysis skills and familiarity with biomedical research methods.
• Excellent written and verbal communication with publications.

Responsibilities

• Contribute to empirical studies in computational psychiatry and data synthesis.
• Collaborate in an interdisciplinary team and mentor junior researchers.
• Assist in recruiting patients with treatment-resistant schizophrenia and consent procedures.
• Collect intraoperative data, pre- and postoperative MRI scans and follow-up recordings; manage patient devices.
• Analyze home-based audiovisual data and correlate with brain sensing and symptoms.

Skills

Python

MATLAB

Machine learning

Data analysis

Education

MD/PhD in Neuroscience or related field

Job description

Mount Sinai Morningside in New York City invites applications for a research-focused role within the PREDiCTOR initiative. The project combines behavioral measures and computational methods to define clinical signatures for individualized treatment and outcome prediction in mental health disorders.

The pilot study examines safety and mechanisms of deep brain stimulation in the SNr for patients with treatment-resistant schizophrenia, including DBS programming, postoperative care, and home-based