The University of Ottawa Heart Institute is Canada's largest and foremost cardiovascular health centre dedicated to understanding, treating, and preventing heart disease. The Division of Cardiac Prevention & Rehabilitation has a unique array of initiatives and programs, with a particular emphasis on innovative approaches to preventing(primary and secondary) and managing cardiovascular disease. The Division is home to our Cardiac Rehabilitation program, one of the largest in Canada, and the Exercise Physiology and Cardiovascular Health Lab.This fellowship affords the opportunity to acquire and contribute knowledge to the areas of cardiovascular rehabilitation, clinical exercise physiology, big data, and clinical trial conduct and management. Some of the current research projects include: (1) OPPORTUNITY – an RCT investigating the impact of different forms of exercise training in patients with atrial fibrillation; (2) CANSURVEY-AF – a multi-site observational cohort study examining the physical activity levels of patients with atrial fibrillation; (3) EXCEED – an RCT examining the effects of exercise programs delivered virtually in women with cardiovascular disease; and, (4) various projects examining practical approaches to prescribing physical activity and monitoring exercise intensity in patients with cardiovascular disease, with a focus on sex and gender differences.The selected candidate will be expected to lead a large-scale / big-data evaluation of cardiac rehabilitation programming to advance quality of care, closely collaborating with scientists and healthcare professionals to develop and apply advanced data science methodologies. Access to several large integrated clinical and research databases spanning 15+ years is available and will serve as the foundation for publication and presentation opportunities. The fellowship also offers the opportunity to enhance and develop clinical exercise physiology / kinesiology skills (e.g., leading exercise training sessions, cardiopulmonary exercise testing, functional capacity testing) in patients with a range of cardiovascular conditions including, but not limited to, atrial fibrillation, coronary artery disease, heart failure (if the candidate possesses the minimum required education and qualifications, see below).

Ph.D. degree in a data science (statistics/computer science/engineering) or health-related (exercise physiology/kinesiology preferred, epidemiology) field, or M.D. degree.R. Kin, ACSM RCEP, CSEP CEP, or equivalent (preferred if contributing to clinical exercise physiology / kinesiology activities).A strong understanding of clinical research design, research methodology, and data analysis.

Demonstrated experience programming in statistical software (e.g., SPSS, SAS, R, Python).Evidence of experience in the preparation and publication of manuscripts.Excellent oral communication and technical writing skills in English.