Senior Data Scientist at Cardiosense

Chicago, Illinois, United States

Cardiosense Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Artificial IntelligenceIndustries

Skills

Key technologies and capabilities for this role

PythonRScalaTensorFlowPyTorchMachine LearningDigital Signal ProcessingPPGECGSCGExploratory Data AnalysisPredictive Analytics

Questions & Answers

Common questions about this position

What is the salary for the Senior Data Scientist position?

This information is not specified in the job description.

Is this a remote or hybrid role?

The position is hybrid.

What technical skills are required for this role?

Expertise in programming languages such as Python, R, or Scala, and strong proficiency in machine learning frameworks like TensorFlow and PyTorch are required. A Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or related field, plus 3+ years of professional experience in data science or machine learning roles, are also needed.

What is the company culture like at Cardiosense?

Cardiosense is a rapidly growing, venture-backed medical AI company that collaborates with cross-functional teams, clinical teams, external vendors, and leading academic institutions to develop wearable sensors and machine learning algorithms for heart disease detection and management.

What makes a strong candidate for this Senior Data Scientist role?

A strong candidate will have a Master’s or Ph.D. in a relevant field, 3+ years of experience in data science or machine learning, expertise in Python/R/Scala and ML frameworks like TensorFlow/PyTorch, and the ability to lead projects, mentor team members, and handle end-to-end model lifecycles including digital signal processing for physiological data.

Cardiosense

Non-invasive cardiac monitoring platform using AI

About Cardiosense

Cardiosense focuses on improving cardiac care through a non-invasive monitoring platform that uses biometric sensors and artificial intelligence to analyze heartbeats. This system captures the electromechanical behavior of each heartbeat, allowing for early detection of declining heart function. By providing healthcare providers with insights before symptoms arise, Cardiosense enables them to prioritize at-risk patients and take proactive measures. Unlike traditional methods that require invasive procedures, Cardiosense's approach is safer and easier for continuous monitoring. The company generates revenue by selling wearable devices and offering subscription access to its analytics platform, ensuring ongoing support for healthcare providers. The goal of Cardiosense is to enhance patient outcomes in cardiac care by preventing severe events through timely intervention.

Chicago, IllinoisHeadquarters
2020Year Founded
$14.7MTotal Funding
SERIES_ACompany Stage
AI & Machine Learning, HealthcareIndustries
11-50Employees

Risks

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.

Differentiation

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.

Upsides

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.

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