Intern, QA CSV & Labelling (Duration: 6 to 9 Months)

Hoya Surgical Optics, Inc.; Singapore; On-site; SGD 10,000 - 17,000; Part time

Job summary

Hoya Surgical Optics, Inc. in Singapore seeks an Intern for QA CSV & Labeling (6-9 months) to support data management, documentation, dashboards, and testing activities within Dot Compliance eQMS and Loftware Label Management System.

The role collaborates with QA Labelling and QA Validation teams, gaining exposure to GxP systems, process improvements, and AI-assisted automation under supervision.

Qualifications

• Pursuing a Diploma or Degree in Engineering, Computer Science, Information Systems or related disciplines.
• Exposure to QA, SDLC, validation, or data analytics is advantageous.
• Experience with dashboard development, reporting, or process automation preferred.

Responsibilities

• Assist data review, cleansing and migration for Dot Compliance and Loftware.
• Support dashboard reporting and quality metrics development.
• Help organize test documentation and record test results for GxP systems.
• Create process documentation, work instructions and training materials.
• Identify opportunities to improve workflows using AI and automation.
• Participate in QA projects and team activities.

Skills

Microsoft Office

Excel

Excel Macros/VBA

Power BI

Power Apps

SharePoint

Attention to detail

Communication

Organizational skills

Education

Diploma or Degree in Engineering, Computer Science, Information Systems

Tools

Dot Compliance eQMS

Loftware Label Management

Job description

• Accountable for our own capabilities and development.
• Focused on delivering results without excuses, and
• Alive to the sensitivities, risk, and impact we have on others and work in a way that helps others do their work effectively.

We are looking for people who

• See beyond self and are impact focused.
• Consider the needs, challenges, and objectives of every person they interact with
• Exhibit positive reinforcement to help others succeed.

Job Description

About the role

Job Title: Intern, QA CSV & Labeling (6-9 months)

Works closely with and have impact on:

• Dot Compliance electronic Quality Management System (eQMS)
• Loftware Label Management System
• Quality Assurance Labelling Function
• Quality Assurance Validation (CSV) Function

Reports to: Senior Manager, QAManager, QA Validation (Labelling & Projects)

Function: Global QA & Compliance

Role Overview

This internship role will work closely with the QA Labelling and QA Validation teams to support the implementation and continuous improvement of Dot Compliance eQMS and Loftware Label Management System. The intern will assist with data management, documentation, dashboard creation, reporting, testing activities, and process improvement initiatives to support the Quality Assurance department.

Duties and Responsibilities

• Assist with data review, cleansing, and migration activities for Dot Compliance and Loftware, as well as to assist with the organization of related validation documentations, under the guidance of QA validation team.
• Support the development of dashboards, reports, and quality metrics using available reporting tools.
• Support testing activities for eQMS, Loftware, and other GxP systems by helping organize test documentation and maintaining clear, accurate records of test results, under the guidance of the QA validation team and documentation activities related to eQMS and Loftware implementation.
• Assist in creating process documentation, work instructions, and training materials.
• Help identify opportunities to improve workflows through use of AI-assisted and automation and reporting tools.
• Participate in QA departmental projects and team activities as necessary.
• Perform other duties as assigned by the supervisor.

Requirements

Experience

• Prior exposure to Quality Assurance, Software Development Lifecycle (SDLC)Management Systems, validation activities, or data analytics projects would be advantageous.
• Experience in dashboard development, reporting, or process automation is preferred.
• Coursework / project exposure to Artificial Intelligence (AI), Machine Learning, or Generative AI/Large Language Model (LLM) tools would be an advantage.

Skills/Accreditations

• Proficient in Microsoft Office applications, especially Word and Excel.
• Knowledge of Excel Macros/VBA is preferred.
• Familiarity with Power BI, Power Apps, SharePoint, or similar dashboard/reporting tools would be advantageous.
• Strong attention to detail and accuracy.
• Good communication and organizational skills.

Academic Qualifications

• Pursuing a Diploma or Degree in Engineering, Computer Science, Information Systems, Data Analytics, Life Sciences, or related disciplines.