C the Signs is dedicated to transforming the future of cancer care through our innovative AI-powered platform. We empower healthcare professionals and patients with the tools and information needed to effectively recognize cancer symptoms, ensuring timely treatment and improved outcomes. As we expand our impact into new markets, we are looking for a passionate Quality Assurance Engineer to join our talented team.
As a Quality Assurance Engineer, you will take a leadership role in ensuring the quality, reliability, and performance of our platform across all touchpoints. You will be responsible for designing and implementing comprehensive testing strategies while collaborating with cross-functional teams to deliver exceptional user experiences. Your expertise will be instrumental in establishing quality standards, driving automation initiatives, and ensuring our platform meets the highest standards of excellence for the healthcare professionals and patients who depend on it.
Requirements
Benefits
The Company: We're a multi-platform digital tool that uses artificial intelligence mapped with the latest evidence, to identify patients at risk of cancer. Covering the entire spectrum of cancer and cross-referencing multiple diagnostic pathways, C the Signs can identify which cancer or cancers a patient is at risk of and the most appropriate next step – all in less than 30 seconds. Our mission is to support GPs to save people's lives by identifying the risk of cancer at the earliest. We do this by applying AI, machine learning and other advanced technologies to reinvent the ways cancer is detected.Who we are: C the Signs is an award-winning purpose driven organisation founded by doctors. The platform is used by healthcare professionals to accelerate early cancer diagnosis – ensuring all patients are identified at the earliest and most survivable stage of the disease. Using AI/ML, big data and NLP. C the Signs is at the forefront of digital health technology and leading on new and innovative methodologies to achieve our mission. The technology is currently supporting thousands of doctors in the UK National Health Service and is growing fast.
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