Postdoc: AI-Driven Neuroimaging & Normative Modelling

Mount Sinai; United States; On-site; USD 85,000 - 120,000; Full time

Job summary

Mount Sinai's Psychiatry Department in New York seeks a post-doctoral fellow to advance CentileBrain, a normative brain-modeling platform, using AI and machine learning on large multi-site neuroimaging datasets.

The role requires PhD/MD-PhD in a quantitative field, strong data-science training, and the ability to develop reproducible computational workflows. The project emphasizes collaboration across neuroscience, psychiatry and engineering.

Qualifications

• PhD or MD/PhD in artificial intelligence, data science, machine learning, biomedical engineering, computer science, computational neuroscience, neuroimaging, biostatistics or a closely related quantitative field.
• Strong formal training in artificial intelligence, data science and machine-learning methods.
• Demonstrated ability to apply advanced computational methods to large-scale biomedical, neuroscience or neuroimaging data.
• Strong quantitative and analytical skills, with the ability to develop, evaluate and interpret computational models.
• Ability to work independently and collaboratively within a multidisciplinary research environment involving neuroscience, psychiatry, engineering, data science and clinical research.
• Strong written and verbal communication skills, including the ability to communicate technical methods and findings to scientific collaborators.

Responsibilities

• Work with large multi-site neuroimaging datasets.
• Follow institutional policies for data governance, privacy, human-subjects research and secure management of research data.
• Conduct preprocessing and quality control of neuroimaging data.
• Extract, harmonize and manage imaging-derived measures across datasets.
• Prepare and maintain data dictionaries and other project materials.
• Implement normative modelling, machine-learning and artificial intelligence pipelines.
• Conduct statistical analyses in relation to project aims.
• Prepare reproducible code, analytic workflows and clear technical documentation.
• Support collaborative analyses with internal and external research partners.
• Contribute to scientific manuscripts, conference presentations and grant reports.

Skills

Machine learning

Data science

Statistical modelling

Scientific programming

Reproducible workflows

Neuroimaging analysis

MRI analysis

Large-scale datasets

Education

PhD or MD/PhD in a quantitative field

Tools

FreeSurfer

FSL

ANTs

BIDS

fMRIPrep

Nipype

Job description

Mount Sinai's Psychiatry Department in New York seeks a post-doctoral fellow to advance CentileBrain, a normative brain-modeling platform, using AI and machine learning on large multi-site neuroimaging datasets.

The role requires PhD/MD-PhD in a quantitative field, strong data-science training, and the ability to develop reproducible computational workflows. The project emphasizes collaboration across neuroscience, psychiatry and engineering.