Clinical Data Scientist – Oncology Analytics & AI

SINGAPORE GENERAL HOSPITAL PTE LTD; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading healthcare institution in Singapore is seeking a Data Analyst to join their clinical and health services research team. The role requires the design and execution of data pipelines, statistical analysis, and reporting to improve patient outcomes. Candidates must possess a relevant degree and proficiency in Python, R, and SQL. Passion for healthcare analytics and collaboration within multidisciplinary teams is essential.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, or related field.
• Advanced proficiency in Python, R, and Java.
• Hands-on experience with SQL database design.
• Extensive knowledge of AI/machine learning frameworks and data structures.

Responsibilities

• Design and create data pipelines for projects.
• Gather and organize data from various sources.
• Perform statistical and data analysis techniques.
• Ensure data quality through validation and cleaning.
• Apply data science/machine learning methods to analyze large datasets.
• Produce analysis reports and presentations.

Skills

Advanced proficiency in Python

Advanced proficiency in R

Advanced proficiency in Java

Hands-on experience with SQL database design

Knowledge of AI/machine learning frameworks

Strong analytical problem-solving skills

Ability to work within multidisciplinary teams

Education

Bachelor’s or Master’s degree in Data Science

Bachelor’s or Master’s degree in Computer Science

Bachelor’s or Master’s degree in Information Systems

Job description

A leading healthcare institution in Singapore is seeking a Data Analyst to join their clinical and health services research team. The role requires the design and execution of data pipelines, statistical analysis, and reporting to improve patient outcomes. Candidates must possess a relevant degree and proficiency in Python, R, and SQL. Passion for healthcare analytics and collaboration within multidisciplinary teams is essential.