Idoven is a health technology company advancing early detection and precision medicine for cardiovascular diseases. The Idoven AI-powered platform delivers substantial improvements to the speed, consistency and accuracy of electrocardiogram (ECG) interpretation. Its powerful, proprietary AI algorithms, which work with existing ECG devices, are also being applied to develop disease biomarkers towards patient identification, risk stratification and prognosis, as well as drug cardiac safety monitoring. Idoven partners with leading medical device and pharmaceutical companies on AI-driven innovations to develop a new standard of cardiovascular care.

Through exclusive partnerships and research collaborations, Idoven has developed one of the world’s largest ECG databases and a deep learning system applied to cardiology. The Idoven software is designed to be integrated seamlessly into existing clinical and research workflows, to support clinician decision making and disease management. 

Idoven has been awarded with numerous distinctions for its AI technology in Europe and the US, including the prestigious European Innovation Council (EIC) Accelerator and Horizon 2020 (H2020) awards and the Healthy Longevity Catalyst Award from the US National Academy of Medicine. The company is backed by top tier investors including Insight Partners, Northzone and Wayra (Telefónica), the Accel Starters programme, leading business angels and EIT Health. 

Idoven is based in Madrid and was founded in 2018, following almost a decade of ground-breaking research. We are building the future of cardiovascular care, and we need the best minds from around the world to help us.

Interested in joining our team? Head to our careers page and apply at www.idoven.ai/jobs

Idoven

Data Scientist

Develop machine learning algorithms for cardiovascular data analysis at a health tech startup.

• Develop, implement, and optimize machine learning models for analyzing cardiac data.
• Create and refine algorithms to improve the accuracy and efficiency of heart health diagnostics.
• Research the latest developments in machine learning, AI, and cardiovascular health.
• Collaborate with teams to integrate models and ensure clinical standards are met.
• Present data findings through dashboards, reports, and presentations.
• Monitor the performance of deployed models and conduct testing to validate effectiveness.
• Ensure all data handling processes comply with regulatory standards.

Full-stack Engineer

• Design and Manage Data Systems
• Collaborate with Experts
• Define Internal Services
• Document Solutions
• Microservice Architecture
• Data Pipelines
• Bug Fixing
• Agile Best Practices
• Ownership
• Business Alignment
• Team Leadership
• Mentorship
• Collaboration with Leadership

Product Engineering Lead

Machine Learning Engineer

• Designing Machine Learning systems
• Identify the architecture required to create a deep learning system to solve complex problems
• Researching and implementing machine learning algorithms and machine learning tools from scratch
• Selecting appropriate data sets to validate our libraries
• Picking appropriate data representation methods
• Identifying differences in data distribution that affects model performance
• Transforming and converting data science prototypes
• Running machine learning tests
• Using results to improve models
• Training and retraining systems when needed
• Extending machine learning libraries, working at a low level, and replacing critical components
• Developing machine learning apps according to product requirements.

Remote Jobs at Idoven

Idoven

Data Scientist

Idoven

Product Engineering Lead

Idoven

ML Engineer

Idoven