Cardiosense is a rapidly growing, venture-backed medical AI company that is redefining how we detect, monitor, and manage heart disease. We're developing novel wearable sensors and advanced machine learning algorithms that translate raw physiological signals into clinically actionable, digital biomarkers used to detect early signs of cardiac worsening, guide personalized therapy, and improve patient outcomes.
Our team brings together experts in data science, biosignal analysis, and medicine united by a common mission to identify and combat preventable cardiac disease. Cardiosense's solutions are built on over a decade of clinical research and we continue to collaborate with the world's leading academic institutions to introduce the next generation of cardiac monitoring and disease management.
About the role:
- Develop software solutions to provide clinically relevant metrics and indications from unobtrusive and non-invasive sensors.
- Coordinate with cross-functional teams to align business, clinical, and model requirements.
- Collaborate with clinical teams and external vendors to facilitate data collection.
- Apply digital signal processing techniques to physiological waveforms (PPG, ECG, SCG, etc.) and build novel machine learning algorithms for hemodynamic assessment.
- Design, implement, and evaluate models using both classical feature extraction and deep learning techniques.
- Manage multiple experiments in parallel.
- Perform statistical and subpopulation analysis on sensor and clinical data collected from clinical trials.
QUALIFICATIONS:
- 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.
- Experience with wearable health sensors and related biometric algorithms (e.g., PPG, ECG, respiratory signals).
- Expertise in digital signal processing techniques and AI/deep learning concepts.
- Strong ability to communicate requirements, manage tasks, and relay results to management teams.
- Understanding of good machine learning practices for medical device development.
PREFERRED:
- Experience in a healthcare or medical device environment.
- Proficiency in programming languages such as Python, R, or MATLAB.
- Familiarity with cloud computing platforms and tools.
- Demonstrated ability to work independently and as part of a team.
- Excellent problem-solving and analytical skills.
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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Contact: [email protected]
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.
