Postdoctoral Fellow-MSH-13400-372

Mount Sinai Medical Center; New York (NY); On-site; USD 72,500 - 80,000; Full time

Job summary

Mount Sinai Medical Center is seeking a Post-Doctoral Fellow in the Psychiatry Department. This role involves working on the CentileBrain project to develop normative models for brain measures and requires strong skills in artificial intelligence, machine learning, and neuroimaging data analysis.

The ideal candidate will have a PhD or MD/PhD in a quantitative field and experience with large-scale datasets. The position offers a competitive salary range of $72,500 - $80,000 annually, reflecting qualifications and experience.

Qualifications

• Strong formal training in artificial intelligence, data science, and machine-learning methods.
• Demonstrated ability to apply advanced computational methods to large-scale biomedical data.
• Ability to work independently and collaboratively in a multidisciplinary environment.

Responsibilities

• Work with large multi-site neuroimaging datasets.
• Conduct preprocessing and quality control of neuroimaging data.
• Implement normative modelling and machine learning pipelines.

Skills

Artificial intelligence

Data science

Machine learning

Biomedical engineering

Statistical modelling

Programming

Education

PhD or MD/PhD in relevant field

Tools

FreeSurfer

FSL

ANTs

BIDS

fMRIPrep

Nipype

Job description

Description

Department: Psychiatry

Physical work location: 1255 Fifth Avenue, Suite C1 New York, NY 10029

Name PI or Supervisor: Dr. Sophia Frangou

Web link to Department: https://icahn.mssm.edu/about/departments-offices/psychiatry

Responsibilities

Details of Research Project:

CentileBrain is a neuroinformatics project that develops normative models and centile-based benchmarks for brain measures across the lifespan. The project integrates large-scale neuroimaging datasets, advanced statistical modelling, machine learning and reproducible computational workflows to support individual‑level and group‑level interpretation of brain structure and connectivity.

Technical Duties: (include any protocols)

The post‑doctoral fellow is expected to perform the following tasks:

• 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.

Qualifications

Educational and other Requirements for the position:

• 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.

Experience Required:

• Experience with machine‑learning methods.
• Experience with statistical modelling.
• Strong scientific programming skills.
• Experience developing and using reproducible computational workflows.
• Experience with neuroimaging data analysis is strongly preferred.
• Hands‑on experience with MRI‑based neuroimaging analysis, preferably including structural MRI, diffusion MRI, brain morphometry, connectivity measures or related imaging‑derived phenotypes.
• Experience with large‑scale or multi‑site datasets.
• Experience with data harmonisation, normative modelling, artificial intelligence, high‑performance computing, Git‑based version control and reproducible research practices is highly desirable.
• Experience with common neuroimaging tools and standards, such as FreeSurfer, FSL, ANTs, BIDS, fMRIPrep, Nipype or related platforms, would be advantageous.
• A prior publication record in neuroimaging, computational neuroscience, data science, machine learning, artificial intelligence or biomedical engineering is preferred.

Goals/Outcomes of the Research Project

The main goal of the project is to advance CentileBrain as a robust, reproducible and scalable platform for normative modelling of brain measures. Expected outcomes include harmonised neuroimaging datasets, validated normative models, individual‑level centile and deviation outputs, documented computational pipelines, peer‑reviewed manuscripts, conference presentations and open or shareable research tools where appropriate.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Compensation

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 $72,500 - $80,000 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.