Identifying multimodal biomarkers for brain diseases like Alzheimer's, schizophrenia, psychosis, and autism by leveraging neuroimaging, AI, and statistical genomics.
Requirements
- Experience with multi-omics data analysis.
- Experience with neuroimaging-behavior and/or neuroimaging-genetics analysis.
- Familiar with emerging AI techniques, neuroimaging methods, and statistical genetics research.
- 3D Imaging
- Computer Coding
- Data Analysis
- Electroencephalogram (EEG)
Responsibilities
- Performs quality checks of brain PET/MRI cognitive, clinical, genetic, and proteomic data and manages them in the data repository and computer servers.
- Runs existing PET/MR brain image processing pipelines on the computer servers, produces the results, and communicates with the group members.
- Writes computer codes for the above data modalities under the guidance of the team leader.
- Engages in the development and testing/validation of new quantitative AI algorithms and their applications to PET, MRI, EEG, behavioral, clinical, genetic, and proteomic data.
- Prepares documentation of existing and newly developed brain image analysis pipelines, algorithms, and quantitative methods.
- Assists the team leader in generating preliminary results for grant funding proposals and manuscript preparation.
- Publishes research findings in reputable scientific journals.
Other
- Assists with grant preparation and reporting.
- Prepares and submits papers on research.
- Assists in the design of research experiments.
- Evaluates research findings and assists in the reporting of the results.
- Maintains conformity with ethical standards in research.
