Senior Research Fellow (Dept of Surgery)

Job Description

• Spearhead the research and development of advanced machine learning models to process and interpret clinical data. Ensure models are optimized for accuracy and efficacy within the medical domain.
   
• Oversee the development, training, and testing of AI models, with a specific emphasis on their application in healthcare and medical research.
   
• Lead and mentor a team of researchers and developers in deploying AI models within a hybrid cloud environment. Ensure best practices in software development and model deployment are followed.
   
• Manage the software development team to ensure timely and successful delivery of AI-driven products, meeting both technical and business requirements.
   
• Create comprehensive documentation detailing the implementation, verification, and validation of algorithms and models, ensuring transparency and reproducibility.
   
• Apply state-of-the-art bioinformatics and statistical tools to analyze large-scale and complex datasets. Develop innovative approaches for the integration and analysis of biological data.
   
• Partner with internal and external collaborators to enhance and invent new methodologies for large-scale biological data analysis and integration, fostering a collaborative research environment.

Qualifications

• PhD in Bioinformatics, Statistics, Computer Science, or a related field, with substantial expertise in machine learning and software development.
   
• Proven experience in developing AI models across various domains such as NLP, imaging, and speech. Proficiency in Python and major AI frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
   
• Familiarity with machine learning platforms and services from cloud providers such as AWS, GCP, and Azure. Knowledge of big data technologies and cloud computing is advantageous.
   
• Demonstrated ability to write and contribute to research articles and grant proposals. Previous exposure to healthcare data is a plus.
   
• Exceptional analytical, technical, and problem-solving abilities. Strong capability in interpreting complex datasets and deriving actionable insights.
   
• Excellent written and verbal communication skills. Proven experience in delivering technical presentations to diverse audiences.
   
• Experience in leading research teams and managing projects within a research or development setting.

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department : Surgery

Employee Referral Eligible: No

Job requisition ID : 26351