The BioMedical Engineering and Imaging Institute (BMEII) at the Icahn School of Medicine at Mount Sinai is seeking an outstanding physician-scientist or quantitative scientist for a minimum two-year NIH-funded Postdoctoral Research Fellowship supported by the National Heart, Lung, and Blood Institute (R01HL166720). The successful candidate will join a multidisciplinary research team investigating the mechanisms and imaging predictors of malignant ventricular arrhythmias in patients with mitral valve prolapse. This unique position combines cutting-edge translational cardiovascular imaging research in multimodality cardiovascular imaging, offering an exceptional opportunity for candidates pursuing careers in academic cardiovascular medicine, cardiac imaging, electrophysiology, biomedical engineering, or translational imaging science.

 

Qualifications Applicants should possess one of the following: MD or MD/PhD with training or strong interest in cardiovascular medicine, cardiac imaging, electrophysiology, heart failure, or related disciplines PhD in biomedical engineering, imaging sciences, biomedical physics, computer science, or another quantitative discipline with experience in cardiovascular imaging Preferred qualifications include: Prior experience in cardiac MRI, PET, echocardiography, cardiac CT, or multimodality cardiovascular imaging Experience with quantitative image analysis and image processing Familiarity with Python, MATLAB, R, FSL, SPM, or similar computational software Strong scientific writing and communication skills Demonstrated ability to work independently and collaboratively within multidisciplinary research teams Career Development This fellowship is specifically designed to prepare fellows for careers as independent academic investigators and leaders in cardiovascular imaging. Fellows will benefit from: Protected research time within an NIH-funded laboratory Structured mentorship from internationally recognized faculty in cardiovascular imaging and translational research Opportunities to publish first-author manuscripts in leading cardiovascular journals Participation in NIH grant development and career development award applications Presentation of research at national and international scientific meetings Mentoring experience with medical students, graduate students, and junior trainees The initial appointment is 1 year, with the possibility of extension based on performance and available funding. About the BioMedical Engineering and Imaging Institute The BioMedical Engineering and Imaging Institute (BMEII) at the Icahn School of Medicine at Mount Sinai is an internationally recognized center dedicated to advancing precision cardiovascular medicine through innovation in multimodality imaging, biomedical engineering, artificial intelligence, and translational research. Investigators within the Institute lead numerous NIH-funded programs spanning cardiovascular disease, inflammation, molecular imaging, structural heart disease, and computational imaging sciences. Application Process Interested candidates should submit: Curriculum vitae Brief statement describing research interests and long-term career goals Contact information for three professional references Applications should be submitted to: Maria Giovanna Trivieri, MD, PhDAssociate Professor of MedicineBioMedical Engineering and Imaging InstituteIcahn School of Medicine at Mount Sinai (mariagiovanna.trivieri@mountsinai.org

 

 

 (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $74,692.00 - $80,000.00 Annually.Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

SPOC-UAW Local 4100 at Icahn School of Medicine (Post Docs), IDE - Radiology BMEII - ISM, Icahn School of Medicine

Research Responsibilities The fellow will play a central role in an NIH-funded multidisciplinary research program integrating advanced cardiovascular imaging, clinical phenotyping, and quantitative image analysis to identify novel imaging biomarkers associated with ventricular arrhythmias and sudden cardiac death in mitral valve prolapse. Primary responsibilities include: Lead quantitative analysis and interpretation of multimodality cardiovascular imaging studies, including cardiac MRI, PET, echocardiography, and cardiac CT. Develop and optimize image processing and quantitative analysis pipelines using commercially available and proprietary software. Integrate multimodality imaging, clinical, electrophysiologic, biomarker, and longitudinal outcomes data into secure HIPAA-compliant research databases. Develop and maintain centralized research databases while facilitating data access for multidisciplinary collaborators. Collaborate closely with cardiologists, biomedical engineers, imaging scientists, statisticians, and data scientists to develop innovative analytical approaches. Participate in image registration, segmentation, radiomic analyses, and advanced quantitative image processing. Lead preparation of first-author manuscripts for publication in leading cardiovascular journals. Present research findings at national and international scientific meetings. Participate in NIH grant preparation, annual progress reports, and future funding applications. Mentor medical students, graduate students, and junior research trainees.  Research Environment The fellow will become an integral member of the BioMedical Engineering and Imaging Institute (BMEII), one of the nation's premier cardiovascular imaging research centers. The research environment includes access to: State-of-the-art PET/MR, cardiac MRI, cardiac CT, echocardiography, and nuclear cardiology facilities Large prospective cardiovascular imaging registries Advanced quantitative image analysis software and computational resources Artificial intelligence and machine learning collaborations Biomedical engineering expertise NIH-funded multidisciplinary translational research programs The fellow will collaborate closely with investigators in Cardiovascular Medicine, Biomedical Engineering, Electrophysiology, Artificial Intelligence, Data Science, and Biostatistics within the Mount Sinai Health System.