Data Scientist

hace 1 mes

Barcelona, España Vhir A tiempo completo

.Data Science Team / Digital Transformation Vall d'Hebron Research Institute (VHIR) is at the forefront of leveraging artificial intelligence, deep learning, federated learning, and advanced NLP technologies to revolutionize the early detection of rare diseases. We are seeking a highly experienced Senior Data Scientist to join our dynamic team. This role will involve leading data science initiatives, developing innovative AI-driven diagnostic tools, and guiding the certification process to bring these solutions into clinical practice, with a significant impact on improving rare disease management. Education and qualifications: Required: Bachelor's or Master's degree in computer science, Information Technology, Data Engineering, Data Science, Computer Science, Bioinformatics, Artificial Intelligence or a related field. Extensive training in machine learning, deep learning, NLP, and big data analytics. Fluency in Catalan, Spanish, and English (business level). Desired: Doctorand or PhD in Data Science, Computer Science, Bioinformatics, Artificial Intelligence, or a related field. Specialized training in federated learning, NLP. Specialized training in healthcare data standards such as OMOP or OpenEHR. Certification in AI or data science-related fields. Experience and knowledge: Required: At least 4 years of professional experience or research in data science or AI. Proven track record in leading AI and machine learning projects, including experience with deep learning frameworks (e.G., TensorFlow, PyTorch), Large Language Models (LLMs), and NLP technologies. Strong expertise in programming languages such as Python, R, and experience with data science frameworks like Scikit-Learn. In-depth knowledge of data normalization and transformation. Ability to manage and mentor junior data scientists or lead data science teams. Experience in deploying AI-driven models, including NLP and LLMs, into production environments. Desired: At least 4 years of experience in data science or AI, with a focus on healthcare or life sciences. In-depth knowledge of data normalization, EHR data integration, and clinical data analytics. Experience with the regulatory and certification process of AI solutions for clinical use, including CE marking or other relevant medical device certifications. Knowledge of data security and compliance requirements, especially in healthcare data (e.G., GDPR). Experience with advanced AI techniques, including neural networks, computer vision, and multi-modal data integration. Strong publication record in peer-reviewed journals or contributions to AI research communities. Experience in deploying AI-driven models, including NLP and LLMs, into production environments in clinical settings. Experience with federated learning environments or distributed systems, supporting AI and deep learning capabilities

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