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

Nanyang Technological University; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Nanyang Technological University in Singapore invites applications for a Principal Scientific Data Officer to lead data QA/QC and audit activities across a large, multidisciplinary research programme involving seismic monitoring, hazard assessment, and risk analysis.

The successful candidate will establish programme-wide data protocols, build an auditable database, and conduct regular data audits to ensure compliance with ISO9001 or ISO/IEC27001, collaborating with about 40 researchers from EOS,

Qualifications

• Master's degree or higher in a relevant scientific or engineering field.
• Formal training in data management, QA/QC or informatics.
• Experience in scientific data governance and data auditing.
• Leadership experience in quality systems for large programmes.
• Ability to collaborate with diverse research teams and external auditors.

Responsibilities

• Establish programme-wide data protocols and procedures for all data assets.
• Develop an auditable database with version control and documentation.
• Work with research teams to maintain data quality and governance.
• Perform periodic internal data audits to meet standards.
• Prepare reproducible data subsets for reporting and publications.

Skills

QA/QC

Data auditing

Data management

Leadership

Education

Master's degree or higher in a relevant field

Tools

ISO9001

ISO27001

Version control

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.