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Senior Ai Medical Imaging
hace 2 meses
The Centro Nacional de Investigaciones Cardiovasculares Carlos III (F.S.P) (CNIC) has been conceived to develop research of excellence, competitive and of international relevance in relation to cardiovascular diseases. The CNIC is a research center of 24,000 m2, located in Madrid, with more than 6,000 m2 for laboratories equipped with a state-of-the-art infrastructure and equipment.
CNIC leads the Project, AI POCVUS-REACT, “_Artificial Intelligence-assisted point of care vascular ultrasound device for personalized cardiovascular prevention_”.
This contract is funded by Mecanismo de Recuperación y Resiliencia de la Unión Europea-Next Generation, in the framework of the call “Solicitud de Proyectos de I+D de Excelencia en Inteligencia Artificial de la Secretaría de Estado de Digitalización e Inteligencia Artificial”
**Functions**:
- Leading the design, development, and deployment of advanced AI models; mentoring junior developers; owning large-scale projects.
- Develop, train, and optimize deep learning models for analyzing medical images.
- Integration of AI/ML models for real-time analysis and decision-making.
- Preprocess large datasets, perform data augmentation, and fine-tune model architectures for improved performance.
- Collaborate with medical professionals and researchers to understand domain-specific requirements.
- Document model development, experiments, and results for reproducibility.
- Contribute to the development of tools and pipelines for data processing, model training, and evaluation.
**Mandatory Requirements**:
- Bachelor’s or Master’s degree in Computer Science, Biomedical Engineering, Data Science, or a related field.
- At least 4 years of professional experience in AI/ML, particularly in healthcare or medical imaging (thirty-two months for people with a disability higher than 66% and forty months for people with a disability higher than 33%).
**Valuable Requirements**:
- C1. Knowledge and experience in Python.
- C2. Knowledge and experience in AI/ML Integration (e.g., PyTorch) for building and training deep learning models.
- C3. Knowledge and experience in Machine Learning. Solid understanding of key ML concepts, including supervised/unsupervised learning, CNNs (Convolutional Neural Networks), and image segmentation/object detection.
- C4. Knowledge and experience in Data Handling. Experience with medical imaging formats like DICOM and using libraries such as OpenCV, PIL, or SimpleITK.
- C5. Knowledge and experience in Deep Learning. Knowledge of deep learning architectures such as YOLO, UNet, non-UNets, GANs, etc.
- C6. Knowledge and experience in Version Control. Familiarity with Git for code management and collaboration.
- C7. Knowledge and experience in Model Optimization. Experience with techniques such as quantization, pruning, or distillation to improve model efficiency.
- C8. Knowledge and experience in Deployment. Experience deploying models using frameworks like ONNX or TensorRT.
- C9. Knowledge and experience in Medical Imaging Knowledge. Prior experience with medical imaging datasets and an understanding of healthcare-specific challenges.
- C10. Experience in leadership and collaboration. Ability to lead and mentor junior developers, conduct code reviews, and work cross-functionally with healthcare professionals.
- C11. Underrepresentation of gender by category, in accordance with Action S1 of the 2021-2024 Equality Plan, POSITIVE ACTION IN CALLS FOR POSTS.
- C12. Interview (it will be partially conducted in English).
**Positive action**: a correction index of 1.5 is established for each year of experience in the evaluation of the number of years in those criteria where experience is evaluated, in the event that the person has a disability higher than 66% and 1.2 in the event that the person has a disability higher than 33%.
**We offer**:
- Competitive salary (estimated annual salary: 62.216,58 € + 25% variable €)
- Consolidated Research Center of international scientific relevance.
- Access to an infrastructure and advanced technologies.
- Integration into an excellent scientific environment.
- Immediate incorporation
**Selection Plan**:
The RESOLUTION OF THE SECRETARIAT OF STATE FOR PUBLIC FUNCTION APPROVING THE COMMON ACTION CRITERIA IN THE SELECTIVE PROCESSES OF STATE PUBLIC SECTOR ENTITIES of April 11, 2022, establishes in point 6.1 that “Unless a specific regulation provides for the selective contest system, the selective system will be the contest-opposition”
In the case of CNIC, the specific regulations approved by the Foundation's board of trustees establish a selective competition system with an interview phase.
**Composition of the Selection Commission**:
- Group Leader
- Group Researcher with high expertise in AI
- Research Office Coordinator
- Research Office Manager
- HR member
The CNIC guarantees, within its scope of action, the principle of equal access to employment, and may not establish any direct or indirect disc
