Senior Data Scientist at Cardiosense

Chicago, Illinois, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Artificial IntelligenceIndustries

Requirements

Candidates should possess a Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field, along with 3+ years of professional experience in data science or machine learning roles, and demonstrated experience leading data science projects or teams. Expertise in programming languages such as Python, R, or Scala is required, alongside strong proficiency in machine learning frameworks like TensorFlow or PyTorch.

Responsibilities

The Senior Data Scientist will collaborate with cross-functional teams to identify opportunities for leveraging company data, collaborate with clinical teams and external vendors to facilitate data collection, design, develop, and deploy scalable machine learning models and advanced analytics, apply digital signal processing techniques to physiological waveforms and build novel machine learning algorithms for hemodynamic assessment, optimize existing algorithms and pipelines, perform exploratory data analysis to extract actionable insights, develop predictive, prescriptive, and descriptive analytics, work with structured and unstructured data, partner with data engineering teams to ensure data pipeline availability, recommend and implement data tools and frameworks, and communicate complex findings to stakeholders.

Skills

Python

Scala

TensorFlow

PyTorch

Machine Learning

Digital Signal Processing

PPG

ECG

SCG

Exploratory Data Analysis

Predictive Analytics

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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