At a Glance
- Tasks: Ensure AI-driven products meet top quality and compliance standards.
- Company: Join a fast-growing tech company at the forefront of AI and healthcare.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant career advancement.
- Why this job: Be part of a team that shapes the future of AI in healthcare.
- Qualifications: Experience in Quality Assurance and understanding of AI environments required.
The predicted salary is between 50000 - 70000 £ per year.
We are supporting a rapidly growing, innovation-driven technology company operating at the intersection of artificial intelligence, healthcare, and data science. Their mission is to deliver cutting-edge AI-powered solutions that support decision-making, improve outcomes, and enable scalable, compliant deployment of advanced technologies across regulated environments.
We are seeking a highly motivated Senior Quality Assurance Specialist to join an expanding team. This role will play a critical part in ensuring that AI-driven products, systems, and processes meet the highest standards of quality, compliance, and regulatory integrity. You will work cross-functionally with product, engineering, data science, and regulatory teams, supporting the development and deployment of AI-enabled solutions in line with applicable quality standards. This position is ideal for someone who combines strong QA expertise with an understanding of software, data systems, or AI environments, and who thrives in a fast-paced, evolving organisation.
- Quality Management & Compliance
- Maintain and enhance the Quality Management System (QMS) in line with applicable standards.
- Ensure organisational compliance with internal quality policies and external regulatory requirements.
- Support quality strategy aligned with product and organisational growth.
- Audit & Inspection Readiness
- Lead and support internal and external audits, including regulatory inspections.
- Design, implement, and continuously improve quality processes, SOPs, and documentation frameworks.
- Support scalability of QA processes in a high-growth environment.
- Product & Development Quality Oversight
- Partner with engineering and data science teams to embed quality standards across the product lifecycle.
- Software development, data governance, and integrity.
- Risk Management
- Conduct and support risk assessments related to products and processes.
Qualifications:
- Bachelor’s degree in a relevant field (e.g. Life Sciences, Engineering, Computer Science, or related).
- Significant experience in Quality Assurance within regulated environments (e.g. pharma, biotech, medtech, or digital health).
- Regulatory and compliance principles (GxP, data integrity, audit readiness).
- Experience supporting audits and inspections.
- Experience working with AI/ML systems, digital health platforms, or software products.
- Software development lifecycle (SDLC).
- Validation practices for digital or AI-based products.
- Knowledge of emerging regulatory frameworks for AI (e.g. CQI, Six Sigma, Quality certifications).
Quality Assurance Specialist Hybrid employer: Cpl Life Sciences
Join a forward-thinking technology company that is at the forefront of innovation in AI and healthcare, where your expertise as a Quality Assurance Specialist will be valued and impactful. With a strong commitment to employee growth, a collaborative work culture, and a focus on quality and compliance, you will thrive in an environment that encourages continuous improvement and professional development. Located in a dynamic setting, this role offers unique opportunities to work with cutting-edge technologies while contributing to meaningful advancements in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Quality Assurance Specialist Hybrid
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common QA scenarios and questions. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and how it relates to AI-driven products.
✨Tip Number 3
Showcase your passion for quality assurance and AI! During interviews, share examples of how you've improved processes or ensured compliance in past roles. This will help you stand out as someone who truly cares about quality.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quality Assurance Specialist Hybrid
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Quality Assurance Specialist role. Highlight your experience in regulated environments and any relevant projects you've worked on, especially those involving AI or software development.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quality assurance and how your background makes you a perfect fit for our innovative team. Don’t forget to mention specific examples of your work that relate to the job description.
Showcase Your QA Expertise:In your application, be sure to emphasise your understanding of quality management systems and compliance principles. Mention any experience you have with audits, inspections, and risk assessments, as these are key to the role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Cpl Life Sciences
✨Know Your QA Fundamentals
Brush up on your Quality Assurance principles, especially in regulated environments. Be ready to discuss how you’ve maintained compliance and quality standards in past roles, particularly in sectors like pharma or digital health.
✨Familiarise Yourself with AI and Data Systems
Since the role involves AI-driven products, make sure you understand the basics of AI/ML systems and their implications for quality assurance. Prepare examples of how you've worked with data integrity and governance in previous positions.
✨Prepare for Cross-Functional Collaboration
This position requires working closely with engineering and data science teams. Think of instances where you successfully collaborated across departments and be ready to share how you ensured quality standards were met throughout the product lifecycle.
✨Showcase Your Audit Experience
Be prepared to discuss your experience with audits and inspections. Highlight specific examples where you led or supported these processes, and how you ensured readiness and compliance with regulatory requirements.
