Post Doc Research Fellow Lab

Postdoctoral AssociateA Postdoctoral Associate position is available in the Division of Vascular Surgery's Vascular Intelligence for Translational AI & Learning (VITAL) Lab, Michael E. DeBakey Department of Surgery. The Postdoctoral Associate will focus on clinical data collection, data management, and imaging-based and clinical research in aortic disease.The Postdoctoral Associate must hold an MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research. The Postdoctoral Associate will receive training under the guidance of the Principal Investigators and collaborating investigators to conduct prospective or retrospective imaging-based and clinical research projects focused on aortic disease and complex endovascular aortic repairs.Responsibilities include protocol development, study design, data collection and analysis, interpretation of clinical and imaging findings, manuscript preparation, and presentation of research findings at scientific meetings. This position provides an excellent platform for career development and the opportunity to contribute to cutting-edge research in advanced endovascular aortic therapies within a collaborative, multidisciplinary research environment.Job duties include participating in prospective and retrospective imaging-based and clinical research projects focused on aortic disease and complex endovascular aortic repair, including protocol development, study design, clinical data collection and management, and imaging data organization and analysis. The Postdoctoral Associate will also participate in vascular imaging research that includes CTA/DICOM image acquisition, interpretation, imaging-based outcome analysis, and AI- and digital twin-based research initiatives.Minimum qualifications include an MD or Ph.D. in Basic Science, Health Science, or a related field. Preferred qualifications include an MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research.