Jobfoundry
Jobfoundry
A*STAR

Manager/ Senior Manager - NDCT Associate Project Manager

A*STAR
ResearchSingaporeFull-time2 days ago
Apply Now

About the role

AI summarised

The National Data Curation Team (NDCT) at A*STAR's Biomedical Data Hub is seeking a Project Manager to lead cross-institutional data curation and standardization projects. The role involves translating requirements between clinicians, researchers, and technical teams, coordinating project teams, and supporting hands-on data curation. Candidates must have strong understanding of medical and biomedical data, including human genomics and clinical data.

ResearchFull-timeBiomedical Data Hub

Key Responsibilities

  • Lead and coordinate cross-institutional teams to support data curation and standardisation projects, including on-boarding data to MOH TRUST and Biomedical Data Hub.
  • Improve data quality, interoperability, and AI readiness through activities such as data cleaning, transformation, and standards compliance.
  • Establish and facilitate domain-specific data working groups to identify and adopt appropriate data standards for emerging data types.
  • Resolve curation issues and maximise data reuse following FAIR data principles.
  • Translate requirements from healthcare and research stakeholders into technical and curation specifications.
  • Coordinate project teams, develop and improve processes, define and implement measurement systems.
  • Organise meetings and events (including training) and support day-to-day operations.
  • Support curation efforts hands-on or propose resolutions to common issues as a data curation practitioner.

Requirements

  • Strong understanding of medical and research data, including human genomics and clinical data.
  • Ability to accurately translate requirements from healthcare and research stakeholders into technical and curation specifications.
  • Comfortable reading, discussing and reasoning about medical and biomedical data.
  • Ability to confidently engage with clinicians and biomedical researchers.
  • Experience with non-human, synthetic or simulated datasets is not sufficient for this role.
  • Experience limited to non-human, synthetic or simulated datasets is not sufficient for this role.