The Department of Radiology at WashU Medicine is seeking a postdoctoral research fellow to identify multimodal biomarkers for brain diseases using advanced quantitative modeling and artificial intelligence methodologies. This involves developing and applying new algorithms to analyze complex datasets including neuroimaging, genetics, and proteomics.
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
- Data Science
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
- Ph.D., M.D. Or Equivalent Terminal Or Doctoral Degree.
- Assists with grant preparation and reporting.
- Prepares and submits papers on research.
- Assists in the design of research experiments.
- Maintains conformity with ethical standards in research.
