Analyst, Data Science, Health Services Research Centre

Singapore General Hospital; Singapore; On-site; SGD 50,000 - 80,000; Full time

Job summary

A leading healthcare institution in Singapore is looking for a highly motivated Analyst to join their Health Services Research Centre. This role involves collaborating with researchers and clinicians to develop data-driven solutions that enhance healthcare delivery. The analyst will play a key role in designing databases and simulation models, contributing to impactful research and policy reports. Ideal candidates will have a strong background in data science, experience in the healthcare sector, and proficiency in programming languages such as R or Python.

Qualifications

• Minimum 3 years of experience in data science or analytics in healthcare.
• Demonstrated experience in health systems modeling and simulation preferred.
• Proficiency in R/Python is necessary.

Responsibilities

• Develop and apply databases, algorithms, and simulation models.
• Contribute to health services research and grant-funded innovation projects.
• Support funding proposals and scientific publications.

Skills

Data Science

Health Systems Modeling

Analytical Skills

Problem Solving

Programming (R/Python)

Machine Learning

Natural Language Processing

Education

Bachelor’s, Master’s or PhD in Health Services Research

Degree in Systems Engineering, Computational Statistics, Business Analytics, or Public Health

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