Associate Principal / Senior Analyst, Data Science, Office of Insights & Analytics

Singapore National Eye Centre; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading healthcare institution in Singapore is seeking a Senior Analyst in Data Science. This role involves extracting, processing, and analyzing healthcare data, developing Machine Learning solutions, and collaborating with stakeholders. The ideal candidate should have 3-5 years of experience in machine learning, strong programming skills, and a relevant degree. The position offers opportunities to make a significant impact in healthcare analytics.

Qualifications

• 3 - 5 years of relevant working experience in machine learning and data analytics.
• Experience delivering Generative AI solutions.
• Knowledge of healthcare data standards and regulatory requirements.

Responsibilities

• Extract, process, and analyse data for healthcare solutions.
• Design and lead end-to-end Machine Learning Operations (MLOps) pipelines.
• Collaborate with stakeholders to build data analytics capabilities.

Skills

Machine Learning

Data Science

Programming in Python

Collaboration with stakeholders

Problem-solving

Education

Bachelor's Degree in Computer Science, Data Science, Engineering, or related fields

Master's Degree (added advantage)

Tools

TensorFlow

PyTorch

Job description

Overview

Job Title: Associate Principal / Senior Analyst, Data Science, Office of Insights & Analytics

Job Category: Administration

Posting Date: 31 Aug 2025

We are seeking a Senior Analyst in Data Science (Machine Learning) to join our Office of Insights and Analytics. In this role, you will be responsible for extracting, processing, and analysing data, as well as developing and implementing analytical models to deliver efficient and effective healthcare solutions.

You will design solutions that address the organisation's challenges using data manipulation and techniques in Data Science, Machine Learning, and Artificial Intelligence. Your role involves driving the end-to-end Machine Learning Operations pipeline, ensuring that solutions are validated and tested using best practices of test-driven development, and deployed with model monitoring and continuous re-training/integration to benefit users and make a significant impact.

Collaborating with stakeholders, you will frame and scope business problems and build data analytics capabilities across various domains, including clinical services, finance, and operations. Additionally, you will conduct feasibility studies, lead translational research projects as required, and facilitate regular key management meetings and reporting.

Responsibilities

Extract, process, and analyse data; develop and implement analytical models to support healthcare solutions.

Design data-driven solutions across Data Science, Machine Learning, and Artificial Intelligence domains; lead end-to-end Machine Learning Operations (MLOps) pipelines with validation, testing, deployment, monitoring, and continuous re-training/integration.

Collaborate with stakeholders to frame business problems, build data analytics capabilities across clinical services, finance, and operations; conduct feasibility studies and translate research into usable insights; facilitate regular reporting and meetings.

Qualifications

Job Requirements

• A Bachelor’s Degree in Computer Science, Data Science, Engineering, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Operations Research, or related fields. A Master’s Degree is an added advantage
• 3 - 5 years of relevant working experience preferably in machine learning and data analytics
• Experience in collaborating with business and technology stakeholders in ensuring data products development and utilisation
• Experience in delivering Generative AI solutions, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs
• Strong programming skills in Python, R, or similar languages
• Experience with AI frameworks such as TensorFlow, PyTorch, or similar
• Experience with Generative AI frameworks such as GPT-3, DALL-E, or similar
• Knowledge of statistical methods and data analysis techniques
• Good knowledge of healthcare data standards and regulatory requirements
• Team player with strong collaboration and problem-solving skills with attention to details
• Independent worker with the initiative to complete tasks and projects