Full-Time

Staff Data Scientist

Posted on 6/13/2024

Cardiosense

Cardiosense

11-50 employees

Non-invasive cardiac monitoring platform using AI

AI & Machine Learning
Healthcare

Senior

Chicago, IL, USA

Hybrid position in Chicago.

Category
Data Science
Data Analysis
Data & Analytics
Required Skills
Python
Data Science
R
MATLAB
Data Analysis
Requirements
  • 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.
  • Proficiency in programming languages such as Python, R, or MATLAB.
  • Familiarity with cloud computing platforms and tools.
Responsibilities
  • 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.

Cardiosense develops a non-invasive monitoring platform designed to enhance cardiac care. This platform uses biometric sensors and artificial intelligence to analyze the electromechanical behavior of heartbeats, providing early warnings of declining heart function. By focusing on early detection, Cardiosense enables healthcare providers to prioritize at-risk patients and implement timely interventions. Unlike traditional methods that often require invasive procedures, Cardiosense's solution is safer and easier to use, making continuous monitoring more accessible. The company generates revenue through the sale of wearable devices and subscription services for its analytics platform. The goal of Cardiosense is to improve patient outcomes by offering actionable insights that can prevent severe cardiac events.

Company Stage

Series A

Total Funding

$14.7M

Headquarters

Chicago, Illinois

Founded

2020

Growth & Insights
Headcount

6 month growth

3%

1 year growth

6%

2 year growth

28%
Simplify Jobs

Simplify's Take

What believers are saying

  • Cardiosense raised $15.1M in Series A funding to accelerate product development.
  • The global cardiac monitoring market is projected to grow at a 7.5% CAGR until 2030.
  • Recent FDA approvals of AI tools suggest a favorable regulatory environment for Cardiosense.

What critics are saying

  • Increased competition from Apple and Fitbit could threaten Cardiosense's market share.
  • Regulatory hurdles may delay broader market entry and expansion for Cardiosense.
  • Continuous funding is needed for R&D, posing financial risks if future rounds fail.

What makes Cardiosense unique

  • Cardiosense offers a non-invasive cardiac monitoring platform using AI and biometric sensors.
  • Their platform detects early signs of cardiac decline before symptoms appear.
  • Cardiosense's technology provides actionable insights for personalized patient care.

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