Senior Data Analyst / Data Analyst, Department of Data Science, SGH

Singapore National Eye Centre; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

An innovative healthcare organization is seeking a Senior Data Analyst to leverage data science and machine learning to enhance patient care. This role involves designing analytical models, collaborating with healthcare providers, and presenting insights to improve healthcare outcomes. The ideal candidate will have a strong foundation in statistics, experience with data visualization tools, and a passion for utilizing data to solve complex problems in the healthcare sector. Join a dynamic team dedicated to making a positive impact on patient lives through data-driven solutions.

Qualifications

• 1-5 years of experience in data science and machine learning preferred.
• Strong understanding of statistical foundations and problem-solving skills.

Responsibilities

• Design and implement analytical models to improve patient outcomes.
• Collaborate with stakeholders to enhance data analytics capabilities.

Skills

Data Science

Machine Learning

Python

R

SQL

Data Visualization

Statistical Analysis

Problem-Solving

Education

Bachelor’s Degree in Computer Science

Master’s Degree or PhD

Tools

pandas

plotly

Tableau

scikit-learn

TensorFlow

PyTorch

Job description

Senior Data Analyst / Data Analyst, Department of Data Science, SGH

Job Category: Administration

Posting Date: 2 Apr 2025

Job Description
You will be responsible for the design, development and implementation of analytical models, as well as the interpretation and presentation of statistical outcomes to support projects designed to improve patient outcomes. You will work with healthcare providers to address their challenges through the use of data and appropriate techniques in Data Science, Optimisation and Machine Learning. You will ensure that the solutions benefit and are adopted by users through meticulous framing/scoping of business problem, validation, execution and deployment. You will collaborate with stakeholders to build data analytics capabilities around clinical services, conduct feasibility studies and lead research projects as required, and facilitate regular key meetings and reporting to management. Most of all, you enjoy working with data to extract insights, and want to contribute to improving healthcare for patients.

Job Requirements

• Bachelor’s Degree in Computer Science, Mathematics, Physics, Statistics, Operations Research, Engineering or related quantitative disciplines. Master’s Degree or PhD would be an advantage.
• Preferably 1-3 years (Analyst) or 3-5 years (Senior Analyst) of hands-on experience in data science and machine learning.
• Prior experience in a healthcare setting would be an advantage but is not required.
• Curiosity and willingness to learn about medicine and healthcare practices are essential.
• A strong understanding of the mathematical and statistical foundations of machine learning.
• Fluency in Python and/or R.
• Experience in several of the following skill clusters:
  • Data retrieval – knowledge of SQL, REST APIs
  • Data wrangling – expertise with pandas or similar
  • Data visualization and dashboards – expertise with plotly, Tableau or similar
  • Classical machine learning – expertise with scikit-learn or similar
  • Deep learning – expertise with TensorFlow and/or PyTorch
• Strong problem-solving and quantitative computational ability, and strong written and oral communication skills
• Ability to work with incomplete or imperfect data
• Ability to work independently as well as in a team