RWE Data Analyst – Oncology & Genomics Insights

SingHealth; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

National Cancer Centre Singapore Pte Ltd is seeking a Data Analyst (DMOAT) to support research initiatives by managing, curating, and analyzing diverse clinical and genomic datasets. The role contributes to advancing patient care and translational research through data-driven insights.

You will work with clinicians, researchers, and regulatory stakeholders, building pipelines on AWS, maintaining data quality, and generating dashboards for grants and publications.

Qualifications

• Bachelor’s or Master’s degree in a relevant biomedical/health data field.
• Experience with clinical or healthcare datasets (EHRs, registries, trials, RWE).
• Familiarity with medical terminology and coding standards (ICD, SNOMED, LOINC).
• Strong analytical, problem-solving, and data interpretation skills.
• Ability to communicate complex findings to technical and clinical stakeholders.

Responsibilities

• Curate, clean, standardize, and integrate clinical, genomic, pathology, lab, registry, and trial datasets.
• Ensure data quality and governance; maintain data integrity and secure access.
• Link clinical and molecular datasets using standardized models; manage databases on AWS.
• Develop genomic analysis pipelines and automate QC procedures.
• Generate dashboards, reports, and analytics for projects, grants, and publications.
• Collaborate with clinicians, researchers, industry partners, and regulatory stakeholders.

Skills

Analytical thinking

Communication

Data visualization

Data mining

Education

Bachelor’s or Master’s degree in Biomedical Sciences/Public Health/Biostatistics/Bioinformatics/Data Science

Tools

AWS

OMOP CDM

Job description

National Cancer Centre Singapore Pte Ltd is seeking a Data Analyst (DMOAT) to support research initiatives by managing, curating, and analyzing diverse clinical and genomic datasets. The role contributes to advancing patient care and translational research through data-driven insights.

You will work with clinicians, researchers, and regulatory stakeholders, building pipelines on AWS, maintaining data quality, and generating dashboards for grants and publications.