Analyst, Data Science, Health Services Research Centre (2-year contract)

Singapore Health Services Pte Ltd (SingHealth HQ); Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading healthcare organization is seeking an analyst to join its multidisciplinary team. The role involves developing databases and models to enhance healthcare outcomes through data-informed decision-making. Ideal candidates will have advanced degrees in health-related fields and relevant data science experience.

Qualifications

• Minimum 3 years of experience in data science or analytics.
• Experience in health systems modeling or simulation preferred.
• Knowledge of biostatistics, epidemiology, and health economics is advantageous.

Responsibilities

• Develop databases, algorithms, and simulation models for healthcare.
• Contribute to health services research and innovation projects.
• Support data-informed decision-making in healthcare delivery.

Skills

Problem-solving

Analytical skills

Systems thinking

Machine learning

Natural language processing

Education

Master’s or PhD in Health Services Research

Bachelor’s in related disciplines

Tools

R

Python

Job description

We are seeking a highly motivated and systems-minded analyst to join our multidisciplinary team at the Health Services Research Centre. You will work alongside researchers, clinicians, and operational leaders to develop impactful solutions that improve healthcare delivery and outcomes in Singapore and the region.

In this role, you will contribute to the design, development, and application of robust databases, algorithms and simulation models that support data-informed decision-making. You will play a key role in advancing health services research and grant-funded innovation projects, and contribute to funding proposals, scientific publications, and health policy reports.

Requirements:

• Bachelor’s, Master’s or PhD in Health Services Research, Systems Engineering, Computational Statistics, Business Analytics, Public Health, or related disciplines

• Minimum 3 years of experience in data science or analytics, preferably in a healthcare or public sector context

• Demonstrated experience in health systems modeling, simulation, or discrete event/system dynamics modeling is strongly preferred

• Knowledge of biostatistics, epidemiology, health economics, implementation science and/or systems engineering methodologies would be advantageous

• Proficiency in major programming languages such as R/Python is necessary

• Possesses prior experience in machine learning, natural language processing, or Generative AI and prompt engineering

• Strong problem-solving, analytical and systems thinking skills with a passion for improving healthcare delivery

• Independent, curious, and adaptable – with a growth mindset and drive to apply new technologies in a dynamic healthcare landscape