Job Description

Responsibilities

• Research and development of machine learning models to process clinical data
• Development, training and testing of AI models in the local medical domain
• Lead the team to deploy the AI models in hybrid cloud environment
• Lead the software development team to deliver AI products 
• Documentation clearly explaining how the algorithms have been implemented, verified and validated
• Responsible for applying state-of-the-art bioinformatic and statistical tools to analyze large-scale, complex datasets
• Partner with internal and external collaborators to assess and invent better approaches for large-scale biological data analysis and integration

Qualifications

• PhD in bioinformatics, statistics, computer science or related fields with good machine learning skills and software development skills 
• Hands-on experience on development of AI models in areas such as NLP, imaging, speech, etc. 
• Proficient with Python and AI related frameworks (such as scikit-learn, tensorflow, pytorch, etc.) 
• Knowledge in machine learning platform and services from cloud provider such as AWS, GCP and Azure
• Knowledge in big data technologies including cloud computing is plus
• Ability to write/contribute to research articles, grants
• Background in or exposure to healthcare data is a plus
• Possess excellent analytical, technical and problem-solving skills.
• Strong written and verbal communication skills
• Demonstrated experience in technical presentations

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department : Surgery

Employee Referral Eligible: No

Job requisition ID : 26350