Principal Scientific Data Officer (Quality Assurance / Quality Control /Audit)

Nanyang Technological University Singapore; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data QA/QC

Data auditing

Data governance

ISO 9001

ISO/IEC27001

Leadership

Stakeholder management

Documentation

Data management workflows

Education

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

Job description

Join Our Multidisciplinary Team at Nanyang Technological University, Singapore These cluster hires will contribute to an integrated programme spanning fault assessment, seismic and geodetic monitoring, earthquake physics, ground-motion modelling, site response, exposure and vulnerability, and probabilistic seismic hazard and risk assessment, working to strengthen Singapore’s national capabilities. New hires will join a multidisciplinary research team spanning Nanyang Technological University’s Earth Observatory of Singapore (EOS), Asian School of the Environment (ASE), and School of Civil and Environmental Engineering (CEE). For more information, please visit: https://earthobservatory.sg, https://ntu.edu.sg/ase, and https://ntu.edu.sg/cee.

Principal Scientific Data Officer (Quality Assurance, Quality Control, and Audit)

We are looking for a Principal Scientific Data Officer (PDO) specialising in data QA/QC & data auditing. The PDO will be responsible for developing and implementing programme-wide data quality standards objectives with comprehensive data tracking and auditability. The objective is to establish an auditable database of all finalised information and data created by the research programme across its research teams in seismic monitoring, earthquake-hazard assessment, and seismic-risk analysis. The PDO will work closely with the research teams comprising some 40 research staff to develop database protocols and procedures for the documentation covering information acquisition and processing, and for models including their underlying model components and assumptions. The PDO will also conduct periodic internal data auditing to ensure data protocols and database are maintained to readily meet external data auditing requirements of ISO9001 or higher ISO/IEC27001.

Key Responsibilities

• Establish programme-wide data protocols and procedures for creating a comprehensive database of all finalized research information including data, models and associated documentation
• Develop and maintain an auditable database of all programme research information with appropriate data tracking, documentation and version control that can support future ISO certification such as ISO9001 or higher ISO/IEC27001.
• Working collaboratively with individual research teams as the data providers of the programme, populate and maintain the database as new research results are obtained, analyzed and finalized
• Perform regular internal data auditing to ensure established protocols and procedure are fully met on a continuing basis
• Prepare reproducible data subsets in support of technical reporting, peer-reviewed publications, and submissions to funding and regulatory agencies.

Job Requirements

• A Master’s degree or higher in a relevant scientific or engineering discipline (e.g. Data Science, Computer Science, Information Systems/Informatics, Geophysics, Earth Sciences, Civil/Earthquake Engineering), or a closely related field
• Formal training in data management, statistics, informatics, data science or closely related field
• Demonstrated capability in understanding of scientific workflows and research methodologies with the ability to translate research processes into robust data management and quality assurance practices
• Advanced qualifications or professional training in research quality management, information systems and/or regulatory compliance
• More than 8 years of relevant experience in scientific data management, research data governance, QA/QC, or data auditing with the last 5 years in progressively senior or leadership-level responsibilities
• Demonstrated leadership experience with responsibility in developing and implementing quality systems, governance frameworks, or audit programme for large, complex, multidisciplinary research programmes
• Strong interpersonal and problem-solving skills, with the ability to work effectively and independently with research teams to resolve data discrepancies and conflicts, and manage competing priorities in a collaborative manner
• Experience working independently with funding agencies, external auditors and/or reviewers on matters relating to data management, data quality, governance and compliance

We seek a diverse and inclusive workforce and are committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret to inform you that only shortlisted candidates will be notified.

Hiring Institution: NTU