lavori da Ai in località Regno Unito

The SingHealth AI Office brings together a multi-disciplinary dedicated to developing Artificial Intelligence (AI) for the academic medicine of tomorrow. Our office has four key functions:

Join our world-leading AI team at the SingHealth AI Health Office and contribute to both clinical and operational advancements, working with rich structured and imaging datasets from a large, diverse and complex range of patient profiles.

As a Senior AI Scientist, you will:

• Develop and validate the different AI algorithms for the Principal Investigator (PI)’s AI and digital innovation related projects, as well as explore novel and evolving technical methods
• Spearhead technical development whilst exploring novel and evolving methodologies
• Support the development of cluster platforms and coordinate retrospective data collection for analysis
• Foster active collaboration with team members, including the coordinator and biostatistician directly involved in the project
• Publish research outcomes in journals of international standing and other reputable outlets
• Present scientific outcomes and strategies to project PIs and collaborators to support the successful development, coordination and management of the project
• Prepare comprehensive research reports for the Director and PIs
• Provide technical mentorship to junior AI scientists in healthcare AI development and publications

Job Requirements

• PhD in Mathematics, Computer Science, Engineering or related discipline
• Minimum of 4 years’ experience in academia or the industry, specifically in AI, machine learning/deep learning (non-medical), or digital health technology
• Ability to drive and strategise AI initiatives that translate effectively into clinical applications
• Strong understanding of clinical research principles
• Proficiency in machine learning and deep learning programming, and other state-of-the-art AI techniques
• Strong analytical and problem-solving skills, with the ability to develop innovative solutions and creative frameworks