Idoven is a European healthtech company using artificial intelligence to advance the early diagnosis of cardiovascular diseases, the leading cause of death worldwide. Backed by the European Innovation Council, Horizon 2020, and top-tier investors, we're building technology with the potential to save millions of lives. We collaborate with leaders like AstraZeneca, Abbott and EIT Health, and our work has been recognized by the European Seal of Excellence, the U.National Academy of Medicine, CB insights' Digital Health Lists, and South Summit as Most Disruptive Startup.
Integral icons Iker Casillas and Pau Gasol support our mission as brand ambassadors, helping raise awareness around heart health. We have created the first mobile app that allows people to donate their heartbeats — turning everyday signals into science with the purpose of preventing heart disease.
Data Analysis and Modeling: Develop, implement, optimize and validate machine learning models. Cardiac data analysis, including data management and cleaning within large-scale datasets.
Research and Innovation: Stay updated with the latest research in machine learning, AI, and cardiovascular health to continuously enhance our products Data Visualization: Present data findings in a clear and concise manner to stakeholders through dashboards, reports, and presentations Performance Monitoring: Monitor the performance of deployed models and conduct testing to validate their effectiveness Compliance and Security:
Ensure all data handling processes comply with regulatory standards and maintain high levels of data security and privacy 4+ years in R&D; and Data Science related fields Deep Learning Mastery: 4+ years of hands‐on experience with neural networks (CNNs, LSTMs or Transformers) Proven ability to design and build neural networks from the ground up Skilled in evaluating results and performing deep‐dive error analysis to resolve model failures Experience with statistical software (e.g., R, Python, Tensorflow, pandas, NumPy, scikit‐learn) and data management and SQL. Seniority to execute end‐to‐end projects with minimal supervision while facilitating seamless collaboration between different Idoven departments to streamline work and achieve company goals Comfortable working in both English & Spanish, with the ability to communicate technical concepts to all stakeholders Experience in ECG processing and electrophysiology, including general interpretation and knowledge.
Signal Processing Expert: it's a field where "you have no secrets." PhD in a bioengineering and/or quantitative discipline is highly preferred Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data Demonstrated skill in selecting the optimal tools and frameworks for specific data analysis challenges Unlimited remote working environment, where you can choose to work from home and attend our Madrid office whenever you want to Learning and development opportunities and training budget Health Insurance covered by IDOVEN Remote Work Allowance for your home office setup! 23 holidays, your birthday off, and December 24th and 31st half days to celebrate!
📌 Data Scientist Senior - Remoto (Madrid)
🏢 IDOVEN
📍 Madrid