Data Scientist in Digital Health

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Barcelona, España Barcelona Supercomputing Center (BSC) A tiempo completo

**Job Reference**: - 602_25_LS_DHU_RE3 **Position**: - Data Scientist in Digital Health - AI Factories (RE3) **Closing Date**: - Sunday, 26 October, 2025 **Reference**: 602_25_LS_DHU_RE3 **Job title**: Data Scientist in Digital Health - AI Factories (RE3) **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. Look at the BSC experience: BSC-CNS YouTube Channel Let's stay connected with BSC Folks 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. **Context And Mission** The AI Factory is a large-scale initiative led by the Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS), designed to position Europe at the forefront of global AI development and deployment. With a multi-stakeholder approach, the AI Factory aims to lower the barriers to AI innovation by offering access to state-of-the-art AI computing infrastructure, advanced training programs, and a dynamic innovation ecosystem. The initiative supports start-ups, SMEs, corporates, academia, and public institutions, providing tailored support to boost AI capabilities and promote responsible and impactful AI adoption. **Key Duties** - Deep learning architectures (transformers, generative AI, agentic AI) - Multimodal learning (medical imaging, omics, EHRs, wearables, etc.) - NLP for biomedical and clinical data - Provide data science consulting and strategic input to projects in medicine and biotechnology. - Attend and contribute to entrepreneurship and innovation training (business planning, investor pitching, startup development, data science strategy). - Publish research results and present at international conferences. - Participate in outreach and dissemination within the AI Factories innovation ecosystem. **Requirements**: - Education - Master’s degree in Computer Science, Biomedical Sciences, Engineering, Mathematics, Statistics, Physics, or related fields. - PhD is welcome (plus), but not required. - Essential Knowledge and Professional Experience - Expertise in machine learning / deep learning applied to biomedical or healthcare data. - Strong programming skills (Python, R, etc.). - Familiarity with deep learning frameworks (PyTorch, TensorFlow). - Strong interest in entrepreneurship and innovation ecosystems (training will be provided). - Additional Knowledge and Professional Experience - Hands-on experience with transformers, generative AI, agentic AI, medical imaging, NLP, or multimodal AI. - Familiarity with HPC environments or large-scale data infrastructures. - Competences - Excellent communication and teamwork skills. - Ability to interact with clinical, academic, and industrial partners. - 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 - Starting date: asap **Applications procedure and process** - 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_**: The recruitment panel will be composed of at least three people, ensuring at least 25% representation



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