Data Scientist, Neurosurgery Division (Contract)

We are seeking a motivated and technically capable Data Scientist to join our Neurosurgery Division. This role is ideal for early-career individuals—including fresh graduates—who are eager to grow in applied AI, data science, and MLOps in a healthcare setting. You will play a critical role in maintaining and enhancing an AI-based risk stratification tool for detecting neurological deterioration. The model is currently deployed via a Streamlit-based web app and integrated into a production-grade AWS/Kubernetes environment. The role involves hands-on support for ongoing validation studies and exploratory AI/ML initiatives within neurosurgery. We welcome entry level graduates with a solid technical foundation and strong interest in clinical AI and MLOps. Key Responsibilities Support the production deployment and maintenance of an AI model in AWS and Kubernetes. Assist with the validation study of the model, ensuring scientific rigor and clinical relevance. Conduct exploratory data analysis and modelling to extend the current solution and support new AI/ML research directions. Learn and apply MLOps practices (e.g., monitoring, deployment, CI/CD pipelines). Collaborate with neurosurgeons, clinicians, and IT stakeholders to translate domain requirements into technical implementations. Participate in containerization efforts using Docker and orchestration via Kubernetes. What We’re Looking For Bachelor’s or Master’s Degree in Mathematics, Statistics, Data Science, Computer Science, or a related field. Entry graduates are welcome to apply. Strong willingness to learn and apply cloud technologies (e.g., AWS), MLOps tools, and production systems. Proficiency in Python for data science (e.g., Pandas, Scikit-learn) is a must. Exposure or interest in learning: Docker and Kubernetes for deployment and orchestration. AWS services (ECS, SageMaker) for cloud-based application hosting and data science experimentation. Streamlit or other Python-based web frameworks. Working with RESTful APIs and structured/unstructured clinical data. Self-starter mindset with the ability to work independently and as part of a multi-disciplinary team. Passion for applying AI to real-world clinical problems and improving patient outcomes. J-18808-Ljbffr

Location: Singapore, Pedra Branca, SG

Posted Date: 7/3/2025