Strength Through Diversity
Ground breaking science. Advancing medicine. Healing made personal.
The Biomedical Engineering and Imaging Institute (BMEII) at The Icahn School of Medicine at Mount Sinai is seeking a Postdoctoral Fellow to work on a highly innovative NIH/NHLBI funded Program Project Grant P01HL131478, entitled “Stress and Atherosclerotic Plaque Macrophages – a Systems Biology Approach”, PI: Zahi A. Fayad. The goals of this 5-year project are (i) to provide mechanistic insights on how stress biologically affects macrophage dynamics, using mouse models of atherosclerosis; (ii) to develop translational imaging technologies that allow monitoring macrophage dynamics non-invasively in animal models and humans; and (iii) to employ the developed neuroimaging and cardiovascular technologies (MR/PET) to study how post-traumatic stress disorder (PTSD) leads to atherosclerosis in humans.
Specific tasks will include:
• Development of image analysis protocols and methods for brain and vascular MRI (anatomical imaging, diffusion tensor imaging (DTI), and functional MRI) and PET acquired on the Siemens Biograph mMR PET/MRI scanner (including programming of needed image analysis software)
• Data analysis, interpretation and presentation using already existing image analysis software packages or new using methods
• Writing of manuscripts and grant proposals
• Working together with research coordinators to screen potential research participants for protocol eligibility, recruit study subjects, obtain informed consent, and collect data and laboratory specimen as needed for all clinical studies
• Working together with research administrators on organizing study protocols, and ensure compliance
• Perform other related duties as required
The candidate should have a PhD in either Engineering, Computer Science, Physics, Mathematics or a related field, with focus on medical image analysis and acquisition (MRI and PET) related to neuroimaging. Cognitive scientists with strong statistical and image analysis skills are also welcome to apply.