Data Analyst

Singapore National Eye Centre; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A leading healthcare research organization in Singapore is seeking a Data Analyst to manage, curate, and analyze clinical data in support of research initiatives. The role involves performing data management and integration, conducting analysis to generate actionable insights, and aligning outputs with ongoing initiatives. The ideal candidate has a relevant degree and experience with clinical datasets, strong analytical skills, and the ability to work collaboratively across multidisciplinary teams.

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).
• Strong analytical, problem-solving and data interpretation skills.

Responsibilities

• Curate and standardize clinical datasets from multiple sources.
• Perform descriptive and statistical analyses of real-world evidence datasets.
• Align data outputs with ongoing institutional initiatives.

Skills

Data Management

Data Analysis

Problem Solving

Effective Communication

Education

Bachelor’s or Master’s degree in Biomedical Sciences or related field

Job description

National Cancer Centre of Singapore Pte Ltd

Data Analyst (DMOAT)

Job Category: Research

Posting Date: 9 Jan 2026

The Data Specialist – Real-World Evidence (RWE) will support the research initiatives of the National Cancer Centre Singapore (NCCS) by managing, curating, and analyzing clinical data to generate actionable insights. The incumbent will be responsible for enhancing existing databases, ensuring data integrity, and integrating outputs with ongoing and future initiatives. By translating complex clinical data into meaningful outputs, the role will directly contribute to advancing patient care, research excellence, and policy impact. The position also offers opportunities to engage with multi-stakeholder partners, including clinicians, researchers, industry, and regulatory bodies, to strengthen the role of real‑world evidence in oncology.

Your responsibilities will include:

Data Management & Integration

• Curate, clean, and standardize clinical datasets from multiple sources (e.g., electronic health records, registries, laboratory/pathology systems, clinical trials).
• Incorporate new data into existing databases, ensuring accuracy, consistency and completeness.
• Collaborate with IT, clinical and research teams to improve database design and usability.

Data Analysis & Interpretation

• Perform descriptive and statistical analyses of real‑world evidence datasets.
• Translate clinical data into meaningful findings that inform research hypotheses, patient care and outcomes evaluation.
• Identify data trends, patterns and knowledge gaps for further investigation.

Integration with Existing and Planned Initiatives

• Align data outputs with ongoing and future institutional, national or international initiatives in real‑world data and evidence.
• Ensure interoperability of datasets and harmonization with established standards and frameworks.
• Contribute data and insights to collaborative projects and multi‑stakeholder platforms.

Requirements

• 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, clinical trials, observational studies).
• Familiarity with medical terminology and coding systems (e.g., ICD, SNOMED, LOINC).
• Strong analytical, problem‑solving and data interpretation skills.
• Ability to communicate complex findings effectively to both technical and clinical stakeholders.
• Strong attention to detail with a commitment to data quality and accuracy.
• Collaborative mindset with ability to work across multidisciplinary teams.
• Adaptability and willingness to learn new tools, methodologies and clinical domains.
• Motivation to contribute to translational research with potential impact on patient care.
• Interest in expanding into multi‑stakeholder engagement, including collaborations with industry and regulatory agencies.