We Are Hiring!
Job Description. The Computational Cardiology Lab (PI: Natalia Trayanova, trayanovalab.org) at the Department of Biomedical Engineering and the Alliance for Cardiovascular Diagnostic Innovation (heartadvance.jhu.edu), Johns Hopkins University, seeks computational cardiac electrophysiology postdoctoral fellows or research scientists. Multiple positions are available. The Lab is developing and translating to the clinic personalized computational digital-twin technologies and machine learning approaches for the prognosis and treatment of heart rhythm disorders. Our work focuses on using computational heart modeling to predict risk of sudden cardiac death or other adverse cardiac outcomes. We design personalized treatment interventions for atrial fibrillation and ventricular arrhythmias based on computational modeling with the goal to maximize clinical procedure success and minimize the arrhythmia recurrence and re-hospitalization. We are currently involved in a clinical trial testing the utility of cardiac modeling in ablation targeting for persistent atrial fibrillation. We also conduct research exploring the mechanisms for arrhythmias. The Postdoctoral Scholars/ Research Scientists will perform research on NIH-funded translational projects.
Job Requirements. Candidates must hold a PhD in biomedical engineering/ bioengineering, applied math, physics, biophysics, or closely related fields and must have lead-author publication(s) in computational modeling of the heart. Candidates should also have strong communication skills and the ability to work both independently and as part of a collaborative team. Prior experience in cardiac modeling and programming skills is a must.
Job Information. To apply, please send a CV, cover letter, and contact information for three references to Melissa Foley-King, firstname.lastname@example.org. Inquiries can be directed at Dr. Natalia Trayanova, email@example.com. The positions will remain open until filled. Salary depends on experience. International applicants welcome and encouraged.