Job Description

Overview

Join the NUHS Group Chief Technology Office (GCTO) that advocates flexible and innovative working culture. Successful candidate will be part of a team of Data Scientists and Software Developers who partner clinicians to propose, develop, and implement advanced Artificial Intelligence / machine learning models and pipelines to augment clinical workflows in NUHS cluster. The candidate will also ensure the adequacy and effectiveness of the models and tools for NUHS.

Key Responsibilities

• Research and develop machine learning models in various clinical areas such as clinical notes, medical images, and patients\' data
• Develop, train and test AI models in the local medical domain
• Work with the team to design and architect the workflow of the data and algorithms including data input, output and storage between various health IT systems
• Lead in the gathering of requirements and data by working and coordinating with clinicians and other relevant internal and external stakeholders
• Work with the team to develop and deploy necessary AI models for NUHS in hybrid cloud environment
• Document clearly explaining how the algorithms have been implemented, verified and validated
• Lead project to deliver AI related research and development requirement to meet the business need

• Minimum Bachelor\'s degree in computer science or related fields with strong statistical modelling and machine learning skills. Graduate degree in related fields may apply
• Hands-on experience in the development of end-to-end data analytics solutions and machine learning pipeline including data exploration/extraction/crawling, data processing, and model building
• Hands-on experience on development of AI models in NLP is a plus
• Proficient with programming in Python and AI related frameworks such as Scikit-Learn, TensorFlow, and PyTorch
• Knowledge and experience in machine learning platform and services from cloud providers such as AWS, GCP, Azure
• Familiarity with healthcare data, medical image is a plus
• Experience in leading AI projects and virtual team
• Strong problem-solving skills with the ability to work independently and in a team
• Excellent written and verbal communication skills, including the ability to communicate technically and non-technically with ability to translate between the two

National University Health System