Senior Healthcare Data & AI Analytics Lead

Singapore National Eye Centre; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

National Cancer Centre Singapore Pte Ltd seeks a Senior Data Analyst / Data Analyst to manage clinical study data and long-term databases within the Division of Medical Oncology. You will perform ETL from the enterprise data warehouse and harmonize data to generate actionable insights for internal and external stakeholders.

Responsibilities include maintaining AI applications for information extraction and predictive analysis, plus coordinating server maintenance and cross-institution access.

Qualifications

• Degree in Life Sciences, Health Sciences, Bioinformatics, Information Technology, Computer Science, Data Science and/or Business Analytics.
• Programming and data science background required.
• Data wriggling skills using Python and SQL are must.
• Experience with healthcare data and data standards is desirable.

Responsibilities

• Data management of clinical research studies and long-term study databases.
• ETL from enterprise data warehouse.
• Harmonize data from multiple sources for insights.
• Analyze registries and databases to identify key patterns for stakeholders.
• Maintain and build AI applications across tumor types (information extraction, entity recognition, predictive analysis).
• Database environment scheduled server maintenance and acceptance tests.
• Cross-institutional access account application and management.

Skills

Python

SQL

R

Tableau

JSON

XML

HTML

OBIEE

Education

Life Sciences degree

Health Sciences

Bioinformatics

Data Science

Information Technology

Computer Science

Tools

OBIEE

Tableau

JSON

XML

HTML

Job description

National Cancer Centre Singapore Pte Ltd seeks a Senior Data Analyst / Data Analyst to manage clinical study data and long-term databases within the Division of Medical Oncology. You will perform ETL from the enterprise data warehouse and harmonize data to generate actionable insights for internal and external stakeholders.

Responsibilities include maintaining AI applications for information extraction and predictive analysis, plus coordinating server maintenance and cross-institution access.