Senior/ Data Analyst (3 Years Contract)

Ng Teng Fong General Hospital; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Ng Teng Fong General Hospital is seeking a Data Scientist to drive the next phase of our data and AI journey, turning concepts into production‑ready, scalable solutions in clinical and operational settings.

You will work at the intersection of data, AI, and real‑world healthcare challenges, partnering with clinical stakeholders to design, build, and deploy timely and robust solutions with strong governance and scalability.

Qualifications

• Strong Python proficiency and data science foundations.
• Experience with exploratory data analysis and visualization.
• Proficiency in predictive modelling and machine learning.
• Familiarity with cloud technologies, especially AWS Bedrock, ECS and Lambda.
• Interest in LLMs and generative AI applications.

Responsibilities

• Design, build, and deploy data‑driven AI solutions for clinical and operational use.
• Collaborate with clinical teams to support data‑driven decision making across the organisation.
• Establish evaluation, deployment, and governance practices to move AI into production at enterprise scale.

Skills

Python

Data science foundations

EDA

Visualization

Predictive modelling

Machine learning

AWS Bedrock

AWS ECS

AWS Lambda

LLMs / Generative AI

Tools

Docker

Kubernetes

FastAPI

Job description

We are seeking a Data Scientist to help drive the next phase of our data and AI journey—taking ideas from concept to production‑ready, scalable solutions that deliver tangible impact across clinical and operational settings.

In this role, you will work at the intersection of data, AI, and real‑world healthcare challenges. You will partner closely with clinical and domain stakeholders to design, build, and deploy solutions that are timely, robust, and safe for use in clinically sensitive environments.

Beyond model development, you will play a key role in establishing strong evaluation, deployment, and governance practices, enabling AI solutions to move beyond experimentation and be sustainably adopted at enterprise scale.

The role is hands‑on and delivery‑focused, involving LLM tool development, AWS‑based deployment, evaluation framework design, and close collaboration with clinical teams to support data‑driven decision‑making across the organisation.

We welcome entry level graduates with strong technical foundations and passion for healthcare AI.

Core technical skills:

• Strong Python proficiency and data science foundations, including exploratory data analysis and visualization, predictive modelling, and machine learning.
• Willingness to learn cloud technologies (AWS services like Bedrock, ECS, Lambda)
• Interest in LLMs and generative AI applications (demonstrable projects as an added plus)

Exposure or strong interest in learning:

• Multi-cloud LLM services (Azure, AWS)
• Agentic frameworks and tool-use patterns for LLMs
• Docker containerization and Kubernetes orchestration
• FastAPI or similar frameworks for building microservices
• Production-level deployment (MLOps, LLMOps)
• Evaluation methodologies for LLM outputs (accuracy, hallucination detection, clinical safety)