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Neuroimaging Multiomic, AI and Machine Learning, Alzheimer's Disease

Wake Forest University School of Medicine, Winston-Salem, North Carolina

Position Description:

Applications are invited for a full-time NIH-sponsored T32 Postdoctoral Research Fellow position at Wake Forest University School of Medicine, with the joint collaboration between the NIA P30 Wake Forest Alzheimer’s Disease Research Center (ADRC) and the Wake Forest Center for Biomedical Informatics.

The fellow will be involved in the state-of-the-art research of multi-modal data-driven approaches on neuroimaging (MRI, PET), multi-omics (genomics, transcriptomic, and metabolomics), and fluid biomarker data, focusing on aging and Alzheimer's Disease. The position will offer unique opportunities to develop advanced multi-modal machine/deep learning and biomedical informatics methods to analyze large-scale multi-dimensional biomedical data to explore the complex pathobiological process in Alzheimer's Disease and related dementia.

Resource & Training Environment:
The postdoctoral fellow will be mentored under the principal supervisor Dr. Da Ma (https://da-ma-dm.github.io), in partnership with multi-disciplinary collaborators at Wake Forest Center for Biomedical Informatics and Alzheimer’s Disease Research Center.

Extensive Postdoctoral training support will be provided by Wake Forest Clinical and Translational Science Institute (CTSI) to towards academic career development as an independent principal investigator. More details about the Wake Forest T32 Fellowship program can be found at: https://school.wakehealth.edu/departments/internal-medicine/gerontology-and-geriatric-medicine/gerontological-and-geriatric-research-t32-ag033534.

Qualifications:

  • Candidates should have a Ph.D. in computer science, informatics, ECE, BME, biostatistics, or a related quantitative discipline at the time of fellowship appointment.
  • Preference will be given to candidates who have prior experience and a strong interest in advanced techniques for high throughput analysis of biomedical data, such as multi-modal neuroimage data, human genetic and omic data, and other types of biomarker data.
  • Programming skills in Python, Matlab, R, Unix/Linux, and a solid background in machine and deep learning, medical image computing, and bioinformatics are highly desired. Excellent written and oral communication skills are required. The fellowship start date is flexible and is available for two years.
  • Candidates must be U.S. citizens or U.S. permanent residents at the time of the fellowship start date.

To Apply:

please email Dr. Da Ma (dma@wakehealth.edu) with a cover letter detailing your interest in this position, your past relevant research and work experiences, your most up-to-date curriculum vitae, and the contact information (names and email addresses) for three references. (Subject line: T32 postdoctoral fellowship in neuroimaging multiomics).

Wake Forest is a top-50 medical school located in Winston-Salem, NC, between the beautiful NC coast and mountains, and is known for its high quality of life and low cost of living. Wake Forest School of Medicine is an affirmative action and equal opportunity employer with a strong commitment to achieving diversity among its faculty and staff.