Job 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 Lab: n/a
Web link to Department: https://icahn.mssm.edu/about/departments-offices/psychiatry
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.
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:
The ideal candidate will have
- 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.
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 $74,692.00 - $80,000.00 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.
, 859 - Psychiatry - ISM, Icahn School of Medicine
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