HealthTech Test Automation Intern - AI-Driven QA

Synapxe

Singapore

On-site

SGD 10,000 - 17,000

Full time

14 days+

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Job summary

Synapxe invites you to join as an intern to power a healthier Singapore. Internship@Synapxe blends curiosity with impact, offering practical experience, skills honing, and meaningful health-tech work that improves health through technology.

You will gain hands-on experience supporting HealthHub+, contribute to test automation initiatives, enhance software quality, and explore AI technologies that boost testing efficiency and user experience.

Qualifications

  • Strong foundation in Java programming.
  • Interest in software testing, test automation, and quality engineering.
  • Basic understanding of software development and testing concepts.
  • Curious about AI technologies and their application in software engineering.

Responsibilities

  • Develop and maintain automated test scripts for HealthHub+ applications and services.
  • Support functional, regression, and integration testing activities to ensure application quality.
  • Analyse test results, investigate defects, and work with project teams on issue resolution.
  • Participate in software testing activities throughout the Software Development Lifecycle (SDLC).
  • Explore the use of AI tools and technologies to improve testing efficiency and quality assurance processes.
  • Assist in preparing testing reports, documentation, and continuous improvement recommendations.

Skills

Java programming
Software testing
Test automation
AI technologies
Communication skills

Education

Final-year diploma student

Job description

Synapxe invites you to join as an intern to power a healthier Singapore. Internship@Synapxe blends curiosity with impact, offering practical experience, skills honing, and meaningful health-tech work that improves health through technology.

You will gain hands-on experience supporting HealthHub+, contribute to test automation initiatives, enhance software quality, and explore AI technologies that boost testing efficiency and user experience.

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