Senior Data Analyst / Data Analyst (DDOIT)

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

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National Cancer Centre of Singapore Pte Ltd

Senior Data Analyst / Data Analyst (DDOIT)

Job Category: Research

Posting Date: 9 Sept 2026

You will be actively involved in data management of clinical research studies and long-term study databases for projects within the Division of Medical Oncology (DMO), National Cancer Centre Singapore. To fulfill the objective, you will be required to perform the following tasks:

• Extract data from medical case report, maintain database, and perform data mining from hospital electronic medical record (EMR),
• Perform ETL (Extract, Transform and Load) raw data from enterprise data warehouse
• Harmonize data from multiple sources and transform raw data into analyzable insights,
• Perform analysis of registries and databases to identify and interpret key patterns and to support the communication of these insights to internal and external stakeholders on a planned regular basis and on ad hoc requests.
• Maintain and build AI applications across tumor types, for examples, information extraction, entity recognition and predictive analysis with machine learning models.
• Database environment scheduled server maintenance and acceptance tests
• Cross-institutional access account application and management

Administrative

• Assists the Principal Investigator in submission of accurate and timely closeout documents. Coordinates appropriate and timely payments to participants (if applicable).

HBRA/IRB Compliance

• Adherence to the HBRA/IRB by ensuring site compliance with research protocols by reviewing all regulatory requirements to confirm implementation of appropriate methods, practices, and procedures for all research activities.
• Develop the ability to anticipate and mitigate potential risks or non-compliance. Ensure all near-misses and protocol deviations are reported in a timely manner.
• Handle all initial and follow up communications between patients, healthcare professionals, clinical trial industry sponsors and PI/Co-Investigators. Assist in communications with DSRB/IRB staff regarding study-related ethics applications, amendments, and status reports.

Data Collection

• Maintenance of existing database to input or validate prospective and retrospective data.

Requirement:

• Degree in Life Sciences, Health Sciences, Bioinformatics, Information Technology, Computer Science, Data Science and/or Business Analytics
• Have programming and data science background. Data wriggling skills using Python and technical knowledge on SQL are must.
• Skill and knowledge on other tools like R, programming, OBIEE, JSON, XML, HTML, structured and unstructured data processing and Tableau will have added advantage.
• Experience in healthcare data and health data standards is desirable.
• Experience in descriptive and predictive analytics will have added advantage.
• Meticulous, with excellent organizational and time management skills
• Good communication, organizational and interpersonal skills
• Ability to complete tasks independently with minimal supervision.
• Ability to work on multiple projects involving multiple stakeholders concurrently.