Data Scientist, Neurosurgery Division (Contract)

Ng Teng Fong General Hospital; Singapore; On-site; SGD 100,000 - 125,000; Full time

Job summary

A leading healthcare institution is seeking a motivated Data Scientist for its Neurosurgery Division. This entry-level position offers a unique opportunity to engage with AI technologies in clinical settings, supporting the deployment and maintenance of an AI-based risk stratification tool while collaborating with clinical stakeholders. The ideal candidate will be passionate about leveraging data to enhance patient outcomes and eager to learn MLOps practices.

Qualifications

• Entry graduates welcome to apply.
• Strong willingness to learn and apply cloud technologies and MLOps.
• Proficiency in Python for data science with relevant libraries.

Responsibilities

• Support production deployment and maintenance of AI models in AWS and Kubernetes.
• Assist with model validation ensuring clinical relevance.
• Conduct exploratory data analysis and support new AI/ML research directions.

Skills

Python

MLOps

Data Analysis

Education

Bachelor’s or Master’s Degree in Mathematics, Statistics, Data Science, or Computer Science

Tools

AWS

Kubernetes

Docker

Streamlit

Job description

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.