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:

  • Work with midsize and large waveform and patient datasets and apply advanced analytical methods to derive clinically relevant metrics and indications.
  • Conduct end to end analyses. Create requirements specifications, processing, analysis, ongoing deliverables, and presentations.
  • Build and prototype analysis pipelines. Optimize database and computational resources for the data science team. 
  • Manage a data science team. Work closely with engineers and managers to identify opportunities for design improvements and operational efficiency.  
  • Collaborate with clinical research team to design end-to-end study infrastructure and pipeline to collect data from clinical sites.
  • Prepare and present statistical analysis of algorithms performance at academic and medical conferences.
  • Participate and engage in thought leadership working groups around the regulation of AI in clinical practice.

What we're looking for:

  • MS/PhD in Electrical Engineering, Statistics, Bioinformatics, Computational Biology, Computer science, Mathematics, or equivalent practical experience
  • 5 years of experience in data analysis or related fields such as Data Scientist, Computational Biologist, or bioinformatics  
  • Deep understanding of both classical machine learning and modern AI/deep learning concepts
  • Ability to effectively communicate requirements, manage tasks, and relay results to management team 
  • Experience with analytic database design and application
  • Understanding of good machine learning practice for medical device development (preferred)
  • Experience in team management or leadership (preferred)
  • Experience with wearable health sensors and related biometric algorithms (e.g. PPG, ECG, respiratory signals) (preferred)


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.


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