Degree in Computational Biology
Aartificial intelligence, Data Analysis, Data science techniques, Database, Deep Learning, Design, Effective communication skills, Machine learning techniques
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.
About this role:
The Senior Data Scientist is responsible for developing novel algorithms to be used in a physiological waveform data solution that will leverage data from multi-model sensors to detect early onsets of cardiac diseases. They will work across clinical and engineering teams to support data collection and to build and optimize end-to-end solutions. A face-paced environment at Cardiosense will provide opportunities for growth in technical understanding, effective leadership, and project development.
What you'll be doing:
What we're looking for:
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.