Senior AI and Scientific Computing Unit Leader at CNIO

hace 1 día


Madrid, Madrid, España CNIO A tiempo completo

We are seeking a highly experienced leader to head a team focused on scientific data-intensive applications and AI methods applied to cancer research at the Spanish National Cancer Research Centre (CNIO). The successful candidate will lead the development and implementation of AI methods linked to the needs of research groups at CNIO, enabling them to implement state-of-the-art AI methods and computational methods in general. Additionally, they will offer computational support, advice, and training to research groups and units in AI model development and application, software development, and data management.

Key Responsibilities

• Lead a team of researchers in the development and implementation of AI methods and computational methods in cancer research
• Collaborate with research groups and units to implement state-of-the-art AI methods and computational methods
• Provide computational support, advice, and training to research groups and units in AI model development and application, software development, and data management
• Stay up-to-date with the latest advancements in AI and computational methods and apply them to cancer research

Requirements

• PhD in Computer Science, Applied Mathematics, Physics, or a related field, with at least 6 years of postdoc experience
• Experience in computational research, AI/machine learning, data mining, big data, and data storage optimization, high-performance computing (HPC) design and administration, and data-intensive applications
• Leadership skills necessary to head a Unit at the CNIO
• Excellent communication and collaboration skills

What We Offer

• An opportunity to be part of a leading Cancer Research Centre, working in a multidisciplinary environment that effectively combines basic and applied research
• Being part of a strategy to boost and strengthen AI within CNIO
• Interdisciplinary collaboration with leading experimental cancer research groups
• Contribution to cutting-edge cancer research with direct clinical implications
• A competitive benefits package and salary



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