Job Reference
603_25_LS_DHU_RE1
Position
Data Scientist in AI for Cardiology – Digital Health Unit (RE1)
Closing Date
Thursday, 16 October, 2025
Reference: 603_25_LS_DHU_RE1
Job title: Data Scientist in AI for Cardiology – Digital Health Unit (RE1)
About BSC
The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.
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We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.
We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.
If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
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 Department
- We offer a full-time contract (37.5h/week), 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 procedures
- Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
- Starting date: asap
Applications procedure and process
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, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.
Development of the recruitment process
The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:
- Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
- Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.
The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.
At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment@bsc.es.
For more information, please follow this link.
Deadline
The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.
OTM-R principles for selection processes
BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
For more information follow this link
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