Principal Data QA/QC & Audit Lead

Nanyang Technological University Singapore; Singapore; Vor Ort; SGD 150.000 - 190.000; Vollzeit

Zusammenfassung

NTU Singapore seeks a Principal Scientific Data Officer to lead data QA/QC and auditing across a multidisciplinary research programme. You will establish robust data protocols, develop an auditable database, and ensure compliance with ISO standards while coordinating with multiple research teams.

You will drive data governance, manage documentation, and support reproducible data delivery for reports, publications, and external audits within a large, cross-disciplinary setting.

Qualifikationen

• Master’s degree or higher in a related scientific or engineering field.
• Formal training in data management, statistics, informatics.
• Experience translating research workflows into robust data governance.
• Leadership in quality systems, governance, or audit programmes.

Aufgaben

• Establish programme-wide data protocols and procedures for creating a comprehensive database of all finalized research information including data, models and documentation.
• Develop and maintain an auditable database with data tracking, documentation and version control for ISO readiness.
• Collaborate with research teams as data providers, populate and maintain the database as new results are obtained.
• Perform regular internal data auditing to ensure protocols are followed continuously.
• Prepare reproducible data subsets for technical reporting, publications, and funding/regulatory submissions.

Kenntnisse

Data QA/QC

Data auditing

Data governance

ISO 9001

ISO/IEC27001

Leadership

Stakeholder management

Documentation

Data management workflows

Ausbildung

Master's degree or higher in a related science or engineering field

Formal training in data management

Regulatory compliance training

Tools

Database systems

Version control

Statistical software

Jobbeschreibung

NTU Singapore seeks a Principal Scientific Data Officer to lead data QA/QC and auditing across a multidisciplinary research programme. You will establish robust data protocols, develop an auditable database, and ensure compliance with ISO standards while coordinating with multiple research teams.

You will drive data governance, manage documentation, and support reproducible data delivery for reports, publications, and external audits within a large, cross-disciplinary setting.