Overview
Data Scientist in AI for Cardiology – Digital Health Unit (RE2) role at Barcelona Supercomputing Center .
Join to apply for the Data Scientist in AI for Cardiology – Digital Health Unit (RE2) role at Barcelona Supercomputing Center .
Responsibilities
* 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
Qualifications
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
* 3 to 5 years 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
* Fluency in English, Catalan, and Spanish
Competences
* Excellent problem-solving and analytical skills
* Ability to collaborate in multidisciplinary teams (engineers, clinicians, researchers)
Conditions
* Location: The position will be located at BSC within the Life Sciences Department
* Contract: full-time contract (37.5h/week) with a good working environment, state-of-the-art infrastructure, flexible hours, extensive training plan, restaurant tickets, private health insurance, and relocation support
* Duration: Open-ended contract due to project and budget duration
* Holidays: 23 paid vacation days plus 24th and 31st of December per collective agreement
* Salary: competitive salary commensurate with qualifications and cost of living in Barcelona
* Starting date: asap
Applications procedure
All applications must be submitted via the BSC website and contain:
* A full CV in English including contact details
* A cover/motivation letter with a statement of interest in English, specifying the areas and topics of interest, and two references
Recruitment process
The selection will be carried out through a competitive examination system (Concurso-Oposición). The process consists of two phases:
* Curriculum Analysis: evaluation of experience, degree, training, and other relevant information — 40 points
* Interview phase: shortlisted candidates will be invited to an interview to evaluate technical competencies, knowledge, skills and personal competencies — 60 points (minimum 30/60 to be eligible)
The recruitment panel will be composed of at least three people with at least 25% women. The process follows Open, Transparent and Merit-based Recruitment (OTM-R) principles. A gender-balanced recruitment panel is formed for each vacancy. At a minimum, a personality questionnaire and a technical exercise will be conducted, and all interview participants will receive feedback.
For questions about recruitment, contact See more information on the external link provided in the original posting.
Legal and diversity statements
BSC-CNS is committed to equal opportunity and the principles of diversity and inclusion. Applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other status protected by law.
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