Degree in Computer Engineering
Aartificial intelligence, Algorithms, Cardiovascular, KPI, KPIs, Machine learning techniques, PyTorch, TensorFlow
Cardiosense is a digital health company that operates at the intersection of wearable technology and artificial intelligence to improve patient health. Our mission is to use physiological waveform data to predict cardiac illness and enable early interventions so people can enjoy healthier, longer lives.
To achieve our mission we are building a physiological waveform AI platform to develop predictive biomarkers to detect and manage cardiac disease. The company has developed a suite of novel digital tools, multi-sensor devices, and analysis algorithms for use by care providers to detect clinical worsening earlier, inform personalized therapy, and improve patient outcomes.
Our team brings together experts in data science, electronics, and healthcare and has partnered with leading healthcare and academic institutions to introduce the next generation of patient waveform monitoring and analytics solutions.
What you'll be doing:
As R&D Director for Clinical AI, you will play a cross-functional, leadership role across both our data science and clinical teams driving ideation, implementation, validation, and commercialization of our noninvasive hemodynamic algorithms.
In this role, you will:
What we're looking for:
Location and Travel:
Candidates located in or willing to relocate to the Chicago, IL area are preferred, however other locations will also be considered. This position may require 25% travel depending on candidate’s location.
Cardiosense is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, disability status, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Cardiosense is building a physiological waveform data platform that leverages novel multi-modal sensors and industry-leading AI to develop predictive biomarkers for pre-symptomatic disease detection and enable personalized therapy.