R&D Data Scientist

with the purpose of preventing heart disease. About You Responsibilities - Data Analysis and Modeling: Develop, implement, optimize and validate machine learning models. Cardiac data analysis, including data management and cleaning within large-scale datasets. - Create and refine algorithms to improve the accuracy and efficiency of heart health diagnostics - Research and Innovation: Stay updated with the latest research in machine learning, AI, and cardiovascular health to continuously enhance our products - Collaboration: Work collaboratively with other teams to integrate models into the production environment and ensure they meet clinical standards - 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 Requirements Must-haves: - 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) - From-Scratch Model Development: Proven ability to design and build neural networks from the ground up - Model Diagnostics: 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. - Applied experience with large datasets, large is not only in quantity - Autonomy & Teamwork: 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 Preferred qualifications - Clinical Expertise: Experience in ECG processing and electrophysiology, including general interpretation and knowledge. - Signal Processing Expert: it's a field where "you have no secrets." - Education: Master's in a quantitative field (e.g., Physics, Engineering, Stats, CS or similar); 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 - Statistical Precision: Demonstrated skill in selecting the optimal tools and frameworks for specific data analysis challenges - Strong communication skills, with a proactive drive to teach others and master new techniques - A high-autonomy professional who acts as an "Energy Giver," balancing a commitment to continuous learning with a drive to up-skill the wider team through active teaching. Benefits -

About Us Idoven is a European healthtech company using artificial intelligence to advance the early diagnosis of cardiovascular diseases, the leading cause of death worldwide. Our CE-marked AI platform, Willem, analyzes electrocardiograms (ECGs) from any device, helping doctors detect heart conditions faster, more accurately and at scale. 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.S. National Academy of Medicine, CB insights' Digital Health Lists, and South Summit as Most Disruptive Startup. Global 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