Total 6 quality assurance job vacancies in Education / Training category in The Philippines

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Quality-Assurance%29/33198-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant (Quality Assurance (QA) Executive) in the Clinical Imaging Research Centre (CIRC), Yong Loo Lin School of Medicine. CIRC is a dedicated molecular imaging research centre. It is equipped with on-site capability for the preparation of PET radiopharmaceuticals in a state-of-the-art GMP-certified facility. CIRC is positioned to support both academic and commercially led clinical research programs, with dedicated clinical imaging facilities area advanced modalities of PET-CT and PET-MRI. For more details on what we do, do visit https://medicine.nus.edu.sg/circ/. Appointments will be made on a two-years contract basis with the possibility of extension.

Purpose of the post

This role provides QA support across document control, batch record management, training records, supplier documentation, audits, and quality system activities. Responsibilities include maintaining quality registers, tracking due dates and CAPA actions, supporting Bizzmine eQMS document control, checking Batch Manufacturing Records for completeness, and assisting with QA reporting and trending. Also supports GMP training, supplier qualification records, inspection readiness, and maintenance of key controlled documents. In addition, the role contributes to QA improvement work and is being trained to support investigational radiopharmaceutical release as an Authorised Person under supervision.

Main duties and responsibilities

The QA Executive will be able to:

1. Provide OMS Support – maintain and update registers
2. Assist in document management & eQMS (Bizzmine)
3. Support Batch Record (BMR) & QA Operations
4. Assist, arrange & support training and filing of training records, especially the annual GMP training
5. Assist & support in maintaining supplier and material documentation
6. Assist & support during audit & inspection period
7. Assist in QA related improvement projects and digital quality system activities
8. To take up the role of Authorised Person for the release of investigational radiopharmaceuticals in compliance with PIC/S GMP (Under supervision)

Qualifications

The applicant should:

1. Have a minimum of bachelor’s degree (Honours) or higher in Pharmaceutical Science, Chemistry, Life Sciences or related discipline;
2. Previous experience working in a PET radiochemistry facility is highly desirable. 
3. Typically, 1-3 years of relevant experience in QA/QC/QMS in a regulated environment (GMP/PIC/S GMP experience is strongly preferred). 
4. Excellent understanding of radiochemical and radiopharmaceutical processes, including material flows, quality controls, and critical parameters in GMP environments. 
5. Strong organizational and project planning skills, with the ability to manage multiple tasks and priorities in a regulated environment. 
6. Working knowledge of GMP principles and their application to equipment qualification, maintenance, and facility operations. 
7. Understanding of radiation safety principles and engineered controls for radioactive materials. 
8. Excellent communication and teamwork skills, with a collaborative approach to problem-solving across scientific, quality, and engineering disciplines. 
9. Working knowledge of PIC/S GMP and good documentation practices (GDP). 
10. Strong coordination skills; able to follow up across teams and manage multiple deadlines. 
11. Comfortable working with digital systems (experience with eQMS is advantageous). 
12. Clear written communication, with strong attention to detail and integrity in a GMP environment 
13. Need to be adaptable and flexible to perform required tasks beyond the job description 
14. Willing to accept exposure of low radiation levels (radiopharmaceutical manufacturing) & enter clean room/rotational function.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Emmalyn Chan Mei Mei at emma.chan@nus.edu.sg.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS Career Portal.

We regret that only shortlisted candidates will be notified.

We are seeking a highly motivated candidate who has strong experience in auditing IFRS financial statements, as well as a passion for learning and knowledge, to join us as Learning and Development Manager for the Audit and Assurance division. You will play a pivotal role in enhancing the skills, knowledge, and performance of our employees primarily in the Audit & Assurance businesses, ensuring the continuous development and success of our workforce.

Responsibilities

• Work closely with key stakeholders on training needs to drive continuous improvements to the existing learning ecosystem.
• Design, develop and implement training and development programs that are aligned with the Firm’s strategy and address skill gaps within the workforce.
• Design, develop and deliver trainings related to financial reporting and audit methodology to the Audit and Assurance professional practice.
• Manage and monitor the deployment of training courses, including onboarding trainings for new employees.
• Ensure that the training programs and talent management practices comply with relevant regulations and standards.
• Prepare information required for external and in-house monitoring / compliance checks on training-related matters.
• Identification of training needs through participation in the Firm’s internal quality review processes.
• Provide coaching to Learning & Development support staff.

The successful candidate should have the following required skills and experience:

• Spent at least 6 years of experience in a Big 4 or mid-tier auditing firm, performing statutory and non-statutory audits of financial statements under International Financial Reporting Standards and International Standards of Auditing.
• Degree or equivalent qualification in Accounting and Finance.
• Experience in content development and delivery of Audit and Assurance trainings with excellent presentation/facilitation skills and ability.

Other preferred skills and experience:

• Proficiency in Microsoft Office.
• Familiarity with virtual delivery platforms including Microsoft Teams and Zoom.  
• Familiarity with learning management platforms such as Talent LMS.
• Familiarity with e-learn editing software such as Articulate360.
• Meticulous with strong organisation and administration skills.

We are hiring a Training and Quality Assurance Manager to lead staff capability development, service quality standards and continuous improvement across our wellness and traditional therapy outlets in Singapore.

Key Responsibilities:

- Design, implement and review training programmes for service staff, outlet teams and supervisors.

- Develop training materials, SOP guides and service quality benchmarks to support operational consistency.

- Conduct staff assessments, coaching sessions and refresher training to improve service performance.

- Monitor customer feedback, service quality indicators and operational compliance standards.

- Perform outlet audits and identify areas for improvement in service execution and customer experience.

- Work closely with management and outlet leaders to strengthen service quality, team discipline and customer satisfaction.

- Support onboarding and structured skills development for new employees.

- Prepare training reports, quality review findings and improvement recommendations for management.

Requirements:

- Strong ability to develop SOPs, training systems and quality monitoring processes.

- Good leadership, coaching and communication skills.

- Strong organisational skills and attention to detail.

- Experience in service, hospitality, healthcare, wellness or retail operations will be an advantage.

- Ability to support a multi-outlet environment and continuous improvement initiatives.

We are seeking a highly motivated candidatewho has strong experience in auditing IFRS financial statements, as well as apassion for learning and knowledge, to join us as Learning and DevelopmentManager for the Audit and Assurance division.  You will play a pivotalrole in enhancing the skills, knowledge, and performance of our employeesprimarily in the Audit & Assurance businesses, ensuring the continuousdevelopment and success of our workforce.

Responsibilities

• Work closely with key stakeholders on training needs to drive continuous improvements to the existing learning ecosystem.
• Design, develop and implement training and development programs that are aligned with the Firm’s strategy and address skill gaps within the workforce.
• Design, develop and deliver trainings related to financial reporting and audit methodology to the Audit and Assurance professional practice.
• Manage and monitor the deployment of training courses, including onboarding trainings for new employees.
• Ensure that the training programs and talent management practices comply with relevant regulations and standards.
• Prepare information required for external and in-house monitoring / compliance checks on training-related matters.
• Identification of training needs through participation in the Firm’s internal quality review processes.
• Provide coaching to Learning & Development support staff.

The successful candidate should have thefollowing skills and experience:

• Degree or equivalent qualification in Accounting and Finance,
• Strong audit and accounting background supported by at least 6 years of experience in conducting audits of financial statements.
• Experience in content development and delivery of Audit and Assurance trainings with excellent presentation/facilitation skills and ability.
• Proficient in Microsoft Office, and familiar with virtual delivery platforms including Microsoft Teams and Zoom.  Prior experience with learning management systems is preferred.
• Meticulous with strong organisation and administration skills.

Responsibilities:

·       Lead the research and development of novel AI architectures that fuse vision data with temporal manufacturing process data to predict final product quality.

·       Develop advanced methodologies for Root Cause Analysis (RCA), moving beyond correlation to establish causal links between process variables and inspection outcomes.

·       Design and implement Knowledge Graphs and semantic reasoning layers that integrate domain expertise with LLMs/VLMs to automate "final sentencing" and provide explainable AI (XAI) insights.

·       Architect and fine-tune state-of-the-art multimodal models to enable text-prompt able vision inspection and contextual decision-making.

·       Pioneer the use of Temporal Transformers or Physics-Informed Neural Networks (PINNs) to analyze complex manufacturing time-series data for anomaly detection and yield prediction.

·       Document research in high-impact internal reports or patent filings and stay at the forefront of AI/ML literature to maintain the institute competitive edge.

·       Provide technical oversight for QC/QA governance frameworks and mentor junior engineers in data integrity and model validation.

 JOB REQUIREMENTS

·       Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related quantitative field is mandatory.
·       At least 2 years of experience

·       Demonstrated experience in publishing or developing innovative algorithms in Computer Vision, Predictive Analytics, or Multimodal AI.

·       Deep understanding of AI-based image segmentation, classification and time-series analysis and signal processing.

·       Hands-on experience with Knowledge Graphs, ontologies, or graph neural networks (GNNs).

·       Strong background in Root Cause Analysis (RCA) and statistical process control.

·       Advanced Python programming skills.

·       Ability to drive research projects from conceptualization to a deployable "target product."

·       Exceptional ability to communicate complex scientific concepts to both technical peers and non-AI manufacturing stakeholders.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Responsibilities:

·       Lead the research and development of novel AI architectures that fuse vision data with temporal manufacturing process data to predict final product quality.

·       Develop advanced methodologies for Root Cause Analysis (RCA), moving beyond correlation to establish causal links between process variables and inspection outcomes.

·       Design and implement Knowledge Graphs and semantic reasoning layers that integrate domain expertise with LLMs/VLMs to automate "final sentencing" and provide explainable AI (XAI) insights.

·       Architect and fine-tune state-of-the-art multimodal models to enable text-prompt able vision inspection and contextual decision-making.

·       Pioneer the use of Temporal Transformers or Physics-Informed Neural Networks (PINNs) to analyze complex manufacturing time-series data for anomaly detection and yield prediction.

·       Document research in high-impact internal reports or patent filings and stay at the forefront of AI/ML literature to maintain the institute competitive edge.

·       Provide technical oversight for QC/QA governance frameworks and mentor junior engineers in data integrity and model validation.

 JOB REQUIREMENTS

·       Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related quantitative field is mandatory.
·       At least 5 years of experience

·       Demonstrated experience in publishing or developing innovative algorithms in Computer Vision, Predictive Analytics, or Multimodal AI.

·       Deep understanding of AI-based image segmentation, classification and time-series analysis and signal processing.

·       Hands-on experience with Knowledge Graphs, ontologies, or graph neural networks (GNNs).

·       Strong background in Root Cause Analysis (RCA) and statistical process control.

·       Advanced Python programming skills.

·       Ability to drive research projects from conceptualization to a deployable "target product."

·       Exceptional ability to communicate complex scientific concepts to both technical peers and non-AI manufacturing stakeholders.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.