Senior / Assistant Manager, NCIS (Biostatistician & Data Analyst)

About the role

The National University Cancer Institute, Singapore (NCIS), a national specialist centre under the National University Health System, is recruiting a Senior / Assistant Manager, NCIS (Biostatistician & Data Analyst) on a 2-year contract. The incumbent supports quantitative analyses using cancer registry and linked healthcare data, contributes statistical expertise to population health, cancer outcomes and health economics research, and works closely with clinicians, researchers and data analysts.

Key responsibilities

• Develop statistical analysis plans for population health, survivorship and health economics studies under the guidance of the Principal Investigator or Reporting Officer.
• Conduct statistical analyses on registry-linked and healthcare datasets, including survival, longitudinal and other appropriate methods.
• Prepare, validate and maintain analysis-ready datasets from multiple sources.
• Generate statistical outputs, reports, tables and figures for publications, presentations and stakeholder reporting.
• Write statistical sections of manuscripts, reports and grant applications.
• Maintain reproducible analytical code and documentation standards.
• Guide junior analysts and team members, perform data validation and quality checks, and take part in peer reviews.
• Support data requirement specifications for registries, hospital systems and administrative data holders, and contribute to DSRB/IRB submissions and research protocols.
• Take part in departmental research, publications, conference presentations and training activities, while ensuring compliance with data governance and confidentiality requirements.

Required profile

• Recognised degree in Statistics, Biostatistics, Epidemiology or a related quantitative discipline, with at least 5 years of relevant experience; a Master's or PhD is an advantage.
• Experience with cancer registry, claims, electronic medical records or other administrative healthcare data is an advantage.
• Experience contributing to peer-reviewed publications or research reports is an advantage.

Required skills

• Applied statistical skills: regression modelling, survival analysis and longitudinal data analysis.
• Python for data processing and manipulation of large datasets.
• R and/or Stata for statistical analysis.
• SQL and experience with large linked datasets is an advantage.
• Ability to write reproducible, well-documented code and to quality-assure the work of others.