Context And Mission
The Barcelona Supercomputing Center – Centro Nacional de Supercomputación (BSC-CNS) is Europe’s leading center for supercomputing research. The successful candidate will work in a highly sophisticated HPC environment, have access to state-of-the-art systems and computational infrastructures, and establish collaborations with experts and companies in different areas at the local and international levels.
The Digital Health Unit, led by Dr. Paula Petrone, applies artificial intelligence to healthcare with the goal of delivering innovative solutions that make a true impact for patients.
This position is part of a collaboration with the AI in Cardiology Group at Hospital de la Santa Creu i Sant Pau (Drs. Martin Descalzo & Matias Calandrelli). The aim is to develop AI solutions in cardiology that advance healthcare practice and contribute to product-oriented applications with real-world clinical impact.
We encourage applications from all genders and candidates from underrepresented groups.
Key Duties
Develop AI models for cardiology, with emphasis on :
- Analysis of cardiac signals using advanced signal processing methods
- Medical image analysis in cardiology
- Integration of biomarkers into predictive models
- Application of deep learning, transformers, foundational models, and generative AI approaches
- Collaborate with clinical researchers and cardiologists to co-design and validate AI tools.
- Contribute to the development of product-ready applications for use in healthcare settings.
- Ensure models are robust, explainable, and clinically relevant.
- Publish and disseminate results in scientific and innovation forums.
Requirements
Education
Master’s degree in Computer Science, Biomedical Engineering, Mathematics, Physics, or related fields.PhD is welcome (plus), but not required.Essential Knowledge and Professional Experience
Hands-on experience in deep learning applied to biomedical data, with emphasis on deep-learning, transformers and foundational models.Strong background in signal processing, particularly for biomedical signals such as cardiac data.Proven expertise in medical image analysis, preferably in cardiology or related healthcare domains.Solid programming skills (Python or similar) and use of deep learning libraries (PyTorch, TensorFlow).Strong interest in developing healthcare applications with real clinical impact.Additional Knowledge and Professional Experience
Experience collaborating with clinical partners or working on healthcare datasets is an advantage.Familiarity with biomarkers or multimodal data integration is desirable.Competences
Excellent problem-solving and analytical skills.Ability to collaborate in multidisciplinary teams (engineers, clinicians, researchers).Fluency in English, Catalan, and Spanish.Conditions
The position will be located at BSC within the Life Sciences DepartmentWe offer a full-time contract a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation proceduresDuration : Open-ended contract due to technical and scientific activities linked to the project and budget durationHolidays : 23 paid vacation days plus 24th and 31st of December per our collective agreementSalary : we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in BarcelonaStarting date : asap#J-18808-Ljbffr