Senior/ AI Scientist, SingHealth AI Office

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KK Women's & Children's Hospital
Singapore
SGD 60,000 - 120,000
Be among the first applicants.
7 days ago
Job description

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

  1. Drive research and development
  2. Attract commercial partnerships
  3. Support AI analytics and governance
  4. Support AI education

Join our world-leading AI team at the SingHealth AI 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.
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