Washington University In St. Louis · Washington University Medical CampusPrepare for this interview
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Position Summary We are considering the applications of a postdoctoral research fellow in neuroimaging, artificial intelligence (AI), and statistical genomics. This exciting career-building position is within the Department of Radiology, which currently ranks the second-highest NIH-funded among the Radiology Departments in the US. The position will work in the Neuroimaging Informatics and Artificial Intelligence (NeuroAI) lab under Dr. Ganesh Chand, Assistant Professor of Radiology, within WashU Medicine, a top-ranked medical school in research. The candidate will work on identifying multimodal biomarkers, specifically leveraging magnetic resonance imaging (MRI), positron emission tomography (PET), functional MRI (fMRI), electroencephalography (EEG), behavior, genetics, and proteomics using advanced quantitative modeling techniques and artificial intelligence methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data modalities. The candidate will have the opportunity to work on "big data" studies in health and diseases, including Alzheimer's disease and others such as schizophrenia, psychosis, autism, etc. We collaborate with major research universities worldwide as well as with neuro-related industries. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Perform quality checks of brain PET/MRI cognitive, clinical, genetic, and proteomic data and manage them in the data repository and computer servers. Run existing PET/MR brain image processing pipelines on the computer servers, produce the results, and communicate with the group members. Write computer codes for the above data modalities under the guidance of the team leader. Engage in the development and testing/validation of new quantitative AI algorithms and their applications to PET, MRI, EEG, behavioral, clinical, genetic, and proteomic data. Prepare documentation of existing and newly developed brain image analysis pipelines, algorithms, and quantitative methods. Assist the team in the manuscript preparation of the research findings. Support the team leader to fulfill the research objectives of their funded projects. Assist the team leader in generating preliminary results for grant funding proposals. Publish research findings in reputable scientific journals. Present research at conferences and contribute to grant applications. Mentor junior team members. Contribute to the overall research goals and objectives of the team. Working Conditions: This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide standard care to research animals. Salary Range: Base pay is commensurate with experience. The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time. Required Qualifications Education: Ph.D., M.D. Or Equivalent Terminal Or Doctoral Degree. Certifications /Professional Licenses : No specific certification/professional license is required for this position. Work Experience: No specific work experience is required for this position.
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