The successful applicant will oversee projects in the newly established Translational Neuroimaging Innovation Program. This new institutional program was established to accelerate advancements in neuro-oncologic and neuro-health imaging. Projects include establishing new MRI and PET image acquisition and analysis tools that can improve brain tumor patient management (e.g., diagnostics, prognostics, early therapeutic response assessment, radiotherapy, and surgical guidance) and establishing neuroimaging tools to investigate the impact of cancer therapies, and neuro-protective agents, on neuro-health and cognition. Our studies span computational biophysics, preclinical, first-in-human, and clinical trial imaging. As such, the primary purpose of this position is to provide experimental leadership and support for research projects at the scientific interface between MRI engineering, multi-modality imaging, computer science, cancer biology, animal models, and clinical translation.
The candidate will apply technical expertise and scientific background and manage and oversee the research activities of philanthropic, federal and state, and industry-sponsored awards in the space of neuroimaging science. He/She will create innovative solutions involving technology, methodology, and tools for research initiatives in the discovery and translational imaging science research environment. He/She will work with laboratory personnel to enhance multi-disciplinary departmental collaborations. The position will maintain professional and cooperative relationships with business partners, administrators, research scientists/investigators, and other academic professionals to ensure efficient communication, follow-through, and coordination of scientific short and long-range goals.
The candidate will gain a strong intellectual foundation in directed evolution and chemical biology. The candidate will be trained in mRNA Display, peptide synthesis, protein expression and purification, and biophysical analysis of target-ligand interactions. The trainee will master the process of ligand design from library construction to hit validation. Additional training in molecular imaging and mouse models will also be obtained during the postdoctoral fellowship.
The ideal candidate will have a Ph.D. in physics, bioengineering, mathematics, computer science, or related disciplines from an accredited institution of higher learning.
Experience in one or more of the following areas: acquisition and analysis of advanced imaging techniques (e.g., pulse sequence programming, rapid imaging, multi-contrast, perfusion and/or diffusion imaging, fMRI, rs-fMRI, PET/MRI preclinical and/or clinical imaging), statistical analysis, multi-parametric data integration, mathematical modeling, and machine learning.
Strong programming skills in Matlab, Python, C/C+, and + and experience with image analysis software packages are preferred.
Self-motivation, ability to work in a team, and excellent communication skills.