Data Scientist in Digital Health

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 welcomed but not required. - Essential Knowledge and Professional Experience: Expertise in machine learning / deep learning applied to biomedical or healthcare data. - Programming Skills: Python, R, or equivalent. - Frameworks: Familiarity with PyTorch, TensorFlow. - Entrepreneurial Interest: Strong interest in entrepreneurship and innovation ecosystems (training will be provided). Additional Knowledge and Professional Experience - Previous experience as a Data Scientist in industry settings (healthcare, biotechnology, pharma, AI startups, or

technology companies). - Hands-on experience with transformers, generative AI, agentic AI, NLP, or multimodal AI. - Familiarity with HPC environments or large-scale data infrastructures. - Preferred: experience developing deep-learning solutions for medical imaging in cancer research or oncology applications. 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 (35 h/week), flexible working hours, an extensive training plan, restaurant tickets, private health insurance, and relocation support. Duration: Open-ended contract linked to the project and budget duration. Holidays: 22 days of holiday + 6 personal days + 24 and 31 December as per collective agreement. Salary: Competitive, commensurate with qualifications and experience, in

About the Organization The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is Europe's leading center for supercomputing research. The AI Factory initiative, funded by the European Union's Recovery and Resilience Facility, positions Europe at the forefront of AI development and deployment. The Digital Health Unit, led by Dr. Paula Petrone, applies AI and data science to healthcare and biotechnology, contributing to medical practice and AI adoption. Key Duties - Develop AI methods for health applications, focusing on deep learning architectures (transformers, generative AI, agentic AI), multimodal learning (medical imaging, omics, EHRs, wearables, etc.), and NLP for biomedical and clinical data. - Support AI Factory users-startups, SMEs, corporates, academia, and public institutions-in building early-stage AI healthcare applications. - Provide data-science consulting and strategic input to projects in medicine and biotechnology. - Contribute to