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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # R&D Data Scientist - **Company:** AstraZeneca - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Artificial Neural Networks, Big Data, Data Visualization, R (Programming Language), Python (Programming Language), Machine Learning, NumPy, Tensorflow, Signal Processing, SQL Databases, Data Processing, Deep Learning, Pandas, Scikit Learn, Data Analytics, Performance Monitor, Data Management - **Published:** July 20, 2026 - **Apply:** https://es.trabajo.org/oferta-3206-e0b87d0a3a578f7555e39a1a906fa05b ## About the Role 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 - ## Description 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 ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Vectorize all the things! 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