At a Glance
- Tasks: Define test strategies and build automated tests for AI-powered skin cancer pathways.
- Company: Join Skin Analytics, a leader in AI medical devices and skin cancer care.
- Benefits: Competitive salary, share options, private healthcare, and generous leave policies.
- Other info: Enjoy a dynamic work environment with opportunities for personal and professional growth.
- Why this job: Make a real difference in healthcare while working with cutting-edge technology.
- Qualifications: 4+ years in software QA with automation testing experience.
The predicted salary is between 45000 - 55000 £ per year.
Skin Analytics develops AI-powered medical devices and skin cancer care pathways. Its DERM product supports autonomous clinical decisions and enables faster access to skin cancer diagnosis through NHS organisations and health insurers.
Responsibilities:
- Define and own the test strategy for new products and features, covering unit, integration, and end-to-end testing.
- Build and maintain automated test suites for mobile, web, and API applications.
- Support manual testing for new features or areas not yet covered by automation.
- Make changes directly in the product codebase to facilitate testing, such as adding test IDs.
- Document test plans, results, and defects, and track regulated software verification using Ketryx.
- Review and analyse user stories, requirements, and technical specifications with developers and product managers to identify gaps, ambiguity, or potential issues before development starts.
- Work with other QAs and engineers to improve testing tools, coverage, and approaches across the team.
Requirements:
- 4+ years of software QA experience focused on automation testing.
- Hands-on experience building automated tests across web, mobile (iOS and Android), and API layers using Playwright and Appium.
- Experience testing pure API products using tools such as Postman and Swagger.
- Proven experience defining an overall product test strategy.
- Experience using agentic AI tooling to accelerate the creation and maintenance of automated tests.
Nice to have:
- Experience with regulated SSDLC processes, MedTech, ISO 13485, and ISO 62304.
Conditions:
- Competitive salary.
- Share options package; all employees have ownership in the company.
- Private healthcare.
- Company pension, including salary sacrifice options.
- 25 days of annual leave, 5-day company shutdown in August, and bank holidays.
- Enhanced parental leave, including adoption and foster care.
- Yellownest Salary Sacrifice Nursery Scheme.
- Bike-to-work scheme.
- Training budget.
- Weekly catch-ups and monthly meetings to discuss employee ambitions and development.
- Social activities.
automation qa for AI-powered skin cancer pathways in London employer: Skin Analytics Ltd
At Skin Analytics, we are not just a health tech company; we are a passionate team dedicated to revolutionising skin cancer diagnosis through AI. Our vibrant work culture fosters continuous learning and collaboration, while our commitment to employee growth is reflected in our generous benefits, including share options, private healthcare, and a supportive environment for professional development. Join us in making a meaningful impact in healthcare, as we scale internationally and strive towards a future where no one dies from skin cancer.
StudySmarter Expert Advice🤫
We think this is how you could land automation qa for AI-powered skin cancer pathways in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Skin Analytics Ltd or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Skin Analytics Ltd.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Skin Analytics Ltd.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Skin Analytics Ltd that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace automation qa for AI-powered skin cancer pathways in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Skin Analytics Ltd.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Skin Analytics Ltd and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Skin Analytics Ltd
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Skin Analytics Ltd uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
