AI Medical Imaging Specialist for Cardiovascular Prevention

hace 1 mes


Madrid, Madrid, España Cnic A tiempo completo
Job Overview

The Centro Nacional de Investigaciones Cardiovasculares Carlos III (F.S.P) is a leading research center dedicated to cardiovascular diseases. We are seeking a Junior AI Developer with expertise in developing models for medical imaging applications.

About the Role

We are looking for two junior-level AI Developers who will work on the development, optimization, and deployment of AI models. The focus is on improving the accuracy and efficiency of image analysis tools used in healthcare.

Key Responsibilities
  1. Develop, train, and optimize deep learning models for analyzing medical images.
  2. Integrate AI/ML models for real-time analysis and decision-making.
  3. Preprocess large datasets, perform data augmentation, and fine-tune model architectures for improved performance.
  4. Collaborate with medical professionals and researchers to understand domain-specific requirements.
  5. Optimize models for deployment in real-world applications, considering efficiency, speed, and accuracy.
  6. Document model development, experiments, and results for reproducibility.
  7. Contribute to the development of tools and pipelines for data processing, model training, and evaluation.
Requirements
  • Bachelor's degree in Computer Science, Biomedical Engineering, Data Science, or a related field.
  • Knowledge and/or experience in Python.
  • Knowledge and/or experience in AI/ML Integration (e.g., PyTorch) for building and training deep learning models.
  • Knowledge and/or experience in Machine Learning.
  • Solid understanding of key ML concepts, including supervised/unsupervised learning, CNNs (Convolutional Neural Networks), and image segmentation/object detection.
  • Knowledge and/or experience in Data Handling.
  • Experience with medical imaging formats like DICOM and using libraries such as OpenCV, PIL, or SimpleITK.
  • Knowledge and/or experience in Deep Learning.
  • Knowledge of deep learning architectures such as YOLO, UNet, non-UNets, GANs, etc.
  • Knowledge and/or experience in Version Control.
  • Familiarity with Git for code management and collaboration.
  • Knowledge and/or experience in AI development or relevant projects.
Benefits
  • Competitive salary (estimated annual salary: 52,261.93 € + 25% Variable).
  • Consolidated Research Center of international scientific relevance.
  • Access to an infrastructure and advanced technologies.
  • Integration into an excellent scientific environment.
Additional Information

This contract is funded by Mecanismo de Recuperación y Resiliencia de la Unión Europea-Next Generation, in the framework of the call "Proyectos de I+D de Excelencia en Inteligencia Artificial del Ministerio de Transformación Digital y Función Pública."



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