Postdoctoral Associate- Pre-Clinical MRI

Summary

The Translational Imaging Group (TIGr) in the Department of Radiology at Texas Children’s Hospital and Baylor College of Medicine is seeking a highly motivated candidate with strong communication skills and the ability to work independently as well as in a collaborative and multidisciplinary environment. The candidate will lead and/or contribute to numerous preclinical research projects focused on the development of novel molecular magnetic resonance imaging (MRI)-based techniques for early detection, disease phenotyping and monitoring treatment outcomes in a variety of disease settings including cancer, cardiovascular diseases, neurodegenerative diseases and placental pathologies.

Job Duties

• Works on projects under the direction of principal investigator (PI).
• Helps by setting research directions on a daily basis within projects.
• Performs experiments, data analysis and reporting.
• Reports data and progress at weekly meetings with PI and research group.
• Prepares presentations for national and international meetings.
• Prepares manuscripts for peer-reviewed publications.
• Provides support for fundraising efforts.
• Designs studies and performs magnetic resonance imaging (MRI) experiments in living rodent models to complete the work proposed in funded grants (CPRIT, NIH, other grants).
• Develops and optimizes scan sequences to enable quantitative in vivo MRI.
• Analyzes data and report progress at weekly research group meetings.
• Prepares presentations for SPR, WMIC, AAIC, ISMRM, RSNA or other scientific meetings.
• Prepares manuscripts for peer-reviewed publications.
• Provides support for fundraising efforts.

Minimum Qualifications

• MD or Ph.D. in Basic Science, Health Science, or a related field.
• No experience required.

Preferred Qualifications

• Ph.D. degree in biomedical engineering, medical physics, or related fields, with proficiency in preclinical MRI, image data processing and analysis.
• Experience in handling and working with rodents is preferrable.