Senior Clinical Data Analyst — AI & Insights

National Cancer Centre Singapore Pte Ltd; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

National Cancer Centre Singapore Pte Ltd seeks a data management professional to support clinical research studies within the Division of Medical Oncology. You will manage data from medical records, build long-term study databases, and ensure data quality for research outputs.

You will perform ETL from enterprise data warehouses, harmonize data from multiple sources, and transform raw data into actionable insights for internal and external stakeholders on a planned basis and request-driven basis.

Qualifications

• Degree in Life Sciences, Health Sciences, Bioinformatics, IT, CS, Data Science or Business Analytics.
• Programming and data science background required; Python and SQL are must-have.
• Knowledge of R, OBIEE, JSON, XML, HTML and data processing adds advantage.

Responsibilities

• Data management of clinical research studies and long-term study databases.
• Perform ETL from enterprise data warehouse.
• Harmonize data from multiple sources and convert to actionable insights.
• Analyze registries/databases to identify patterns for internal/external stakeholders.
• Maintain AI applications across tumor types (information extraction, ML models).
• Schedule server maintenance and run acceptance tests for databases.
• Manage cross-institutional access accounts.

Skills

Python

SQL

R

Tableau

Data wrangling

Data Science

Communication

Education

Bachelor's degree in Life Sciences, Health Sciences, Bioinformatics, Information Technology, Computer Science, Data Science and/or Business Analytics

Tools

OBIEE

JSON

XML

HTML

Job description

National Cancer Centre Singapore Pte Ltd seeks a data management professional to support clinical research studies within the Division of Medical Oncology. You will manage data from medical records, build long-term study databases, and ensure data quality for research outputs.

You will perform ETL from enterprise data warehouses, harmonize data from multiple sources, and transform raw data into actionable insights for internal and external stakeholders on a planned basis and request-driven basis.