A*STAR

Senior Assistant Director/Deputy Director - National Data Curation Team

A*STAR
ResearchSingaporeOnsitePosted 5 days ago

About the role

AI summarised

As a member of the Biomedical Data Hub (BDH) leadership team, you will be responsible for shaping the national biomedical data curation ecosystem in Singapore. This role involves leading a coordinating office to drive outcomes such as improved data quality, semantic interoperability, and AI readiness of de-identified biomedical datasets, serving as a trusted research node for cutting-edge science.

ResearchOnsiteBiomedical Data Hub

Key Responsibilities

  • Lead project-based teams to curate and onboard de-identified biomedical datasets into the Biomedical Data Hub (BDH).
  • Drive improvements in data quality, semantic interoperability, and AI readiness of heterogeneous datasets.
  • Establish and coordinate domain-specific data working groups comprising clinicians, bio-informaticians, and researchers to adapt data standards.
  • Translate between clinical language, data owner concerns, and technical terms while building trust with data custodians.
  • Develop and implement an operational model for the national data curation team to address diverse data types and use cases.
  • Develop strategies for metadata, data curation, standardization, and clean-up to create research- and AI-ready datasets.
  • Define KPIs and metrics to measure data curation quality and productivity of projects and teams.

Requirements

  • Degree in Bioinformatics, Health/Medical Informatics, Data Science, Medicine, or a related field.
  • 10 years of experience in bioinformatics, health/medical informatics, data science, or a related field as a practitioner.
  • Previous experience working with hospitals, healthcare institutions, or clinical data owners/health data custodians.
  • Working knowledge of interoperability standards for health data (e.g., OMOP, HL7, FHIR) and research data modalities (genomics, imaging, multi-omics).
  • Strong understanding of biomedical/healthcare data governance, ethics, and privacy considerations.
  • Experience in data management workflows.
  • Ability to drive projects to closure, overcoming technical and bureaucratic hurdles.
  • Strong communication skills with demonstrated ability to engage clinicians and non-technical stakeholders.