RWE Data Scientist – Oncology & Genomics (AWS)

NATIONAL CANCER CENTRE OF SINGAPORE PTE LTD; Singapore; On-site; SGD 60,000 - 95,000; Full time

Job summary

The Data Specialist - Real-World Evidence (RWE) at NATIONAL CANCER CENTRE OF SINGAPORE PTE LTD will manage and curate clinical, genomic, and registry datasets to generate actionable insights for cancer research and patient care.

You will build and optimize data pipelines on AWS, ensure governance and data quality, and translate complex analyses into dashboards and reports for investigators, regulators, and multi-stakeholder partners.

Qualifications

• Bachelor's or Master's degree in Biomedical Sciences, Public Health, Biostatistics, Bioinformatics, Data Science, or a related discipline.
• Experience working with clinical or healthcare datasets (e.g., EHRs, registries, trials, real-world evidence).
• Familiarity with medical terminology and healthcare coding standards (ICD, SNOMED, LOINC).
• Strong analytical, problem-solving, and data interpretation skills.
• Ability to communicate complex analyses to technical and clinical stakeholders.

Responsibilities

• Data integration, curation, and governance of clinical, genomic, pathology, and registry datasets.
• Manage and optimize AWS-hosted databases; ensure security, access controls, and backups.
• Develop, optimize, and maintain genomic analysis pipelines (AWS) and data-sharing workflows.
• Perform statistical analyses, data mining, and visualization to identify trends and biomarkers.
• Collaborate with clinicians, researchers, industry partners, and regulators on data-driven initiatives.

Skills

Analytical thinking

Data interpretation

Communication

Collaborative

Adaptability

Education

Biomedical Sciences / Public Health / Biostatistics / Bioinformatics / Data Science

Tools

AWS Cloud

OMOP CDM

SQL

Python

R

Job description

The Data Specialist - Real-World Evidence (RWE) at NATIONAL CANCER CENTRE OF SINGAPORE PTE LTD will manage and curate clinical, genomic, and registry datasets to generate actionable insights for cancer research and patient care.

You will build and optimize data pipelines on AWS, ensure governance and data quality, and translate complex analyses into dashboards and reports for investigators, regulators, and multi-stakeholder partners.