Quality Engineer

Purpose

As a Quality Engineer, you will work with a fast-paced and multi-functional Agile development team to build software for precision medicine that will use genetics to diagnose hereditary diseases and cancer treatment plans. As a member of the development team, your focus will be on identifying real-world, user-centric scenarios and workflows and building & executing test plans to ensure their accuracy. Additionally, you will be responsible for reporting, tracking, and testing issues discovered during design and development.

Clinisys' AI Philosophy:

Building an AI‑first organisation is central to Clinisys’ purpose and the impact we deliver. As a global provider of intelligent diagnostic informatics solutions, we build AI‑enabled, cloud‑based platforms to enhance diagnostic workflows across healthcare, life sciences, and public health. By applying intelligent technology thoughtfully and responsibly, we help laboratories and testing environments operate more effectively, generate meaningful insights at scale, and ultimately support healthier and safer communities. Operating across more than 30 countries, Clinisys expects all colleagues—regardless of role or function—to work confidently with AI‑enabled tools, apply digital and analytical thinking, and continuously adapt as technologies evolve, must drive an AI first sense of purpose and urgency.

Essential Functions

• Works with Agile team in identifying scenarios and workflows to best represent client usage of the application

• Assist in requirements and design reviews for functional accuracy

• Develop, execute, and document test plans to ensure the product we produce is accurate

• Analyzes defects, performs root cause analysis, and collaborates with others to resolve issues

• Identifies testing risks and implements mitigations to build a quality product within the established delivery timeline

• Recommends, schedules, and facilitates cross-department testing events to ensure application quality

• Develop persona analyses for persona-based roles testing

• Drives clarity and understanding of new features by actively considering and utilizing scenarios that are beyond acceptance criteria and team discussion

• All other duties and responsibilities as assigned

• Azure DevOps for test management.

• Web API testing using postman.

• Manual and Automation testing experience. Thorough understanding of OOPs concepts and scripting in C#

• Proficiency in AI/CoPilot usage is essential, particularly in design and development, to drive productivity increases.

· Knowledge in Prompt Engineering is important, along with the ability to leverage CoPilot Agent/LLM models effectively.

· Designs structured AI-assisted testing workflows, using LLMs to generate and refine test scenarios, edge cases, and defect hypotheses, while enforcing validation of model output.

· Creates and applies prompt templates for consistent AI support in test creation, log analysis, and documentation, ensuring reproducibility and traceability.

· Uses AI responsibly to analyze logs, identify patterns, and accelerate triage processes—while applying critical judgment and verifying outputs for correctness.

· Evaluates AI-generated test data or summaries for completeness and relevance, applying safe-use and validation principles learned from AI found

Clinisys' AI Philosophy:

Building an AI‑first organisation is central to Clinisys’ purpose and the impact we deliver. As a global provider of intelligent diagnostic informatics solutions, we build AI‑enabled, cloud‑based platforms to enhance diagnostic workflows across healthcare, life sciences, and public health. By applying intelligent technology thoughtfully and responsibly, we help laboratories and testing environments operate more effectively, generate meaningful insights at scale, and ultimately support healthier and safer communities. Operating across more than 30 countries, Clinisys expects all colleagues—regardless of role or function—to work confidently with AI‑enabled tools, apply digital and analytical thinking, and continuously adapt as technologies evolve, must drive an AI first sense of purpose and urgency.

Skills needed to be successful

· Ability to think creatively, identify alternatives, and generate new ideas necessary to achieve a goal

· Ability and willingness to make decisions that represent the best course of action out of the available options in order to achieve a desired result.

Required Experience & Education

• Bachelor’s degree in Engineering or related discipline or equivalent relevant work experie

• 2-4 years’ experience in quality engineering

• 2-4 years working with current Quality Assurance standard methodologies, and tool sets.

Preferred Experience & Education

• Knowledge on US/UK/EU healthcare domain

• Knowledge on Cloud based application testing

Supervisory Responsibilities

· None