At a Glance
- Tasks: Ensure AI-driven products meet top quality and compliance standards in a fast-paced environment.
- Company: Join an innovative tech company at the forefront of AI and healthcare.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic team culture with excellent career advancement opportunities.
- Why this job: Make a real impact on cutting-edge AI solutions that improve healthcare outcomes.
- Qualifications: Experience in Quality Assurance within regulated environments and knowledge of AI systems.
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) knowledge.
- 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 - Pharmaceuticals employer: Cpl Life Sciences
Join a pioneering technology company at the forefront of AI and healthcare, where innovation meets quality assurance. Our collaborative work culture fosters growth and development, offering employees the chance to enhance their skills while contributing to impactful projects that improve patient outcomes. With a commitment to compliance and excellence, we provide a dynamic environment that supports your career aspirations in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Quality Assurance Specialist - Pharmaceuticals
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend relevant meetups or webinars, 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 brushing up on your knowledge of quality assurance in pharmaceuticals and AI systems. Be ready to discuss how your experience aligns with the company's mission and values. Practice common interview questions and have your own questions ready to show your interest.
✨Tip Number 3
Showcase your skills through a portfolio or case studies. If you've worked on relevant projects, highlight them! This gives potential employers a tangible sense of what you can bring to the table, especially in a fast-paced environment.
✨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, it shows you're genuinely interested in joining our innovative team.
We think you need these skills to ace Quality Assurance Specialist - Pharmaceuticals
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quality Assurance Specialist role. Highlight your experience in regulated environments and any relevant skills in AI or software development. We want to see how your background aligns with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quality assurance in the tech and healthcare sectors. Share specific examples of how you've contributed to quality management in previous roles.
Showcase Your QA Expertise:Don’t hold back on showcasing your QA expertise! Mention any experience you have with audits, compliance, and risk management. We’re looking for someone who can hit the ground running, so let us know what you bring to the table.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of all the amazing candidates like you!
How to prepare for a job interview at Cpl Life Sciences
✨Know Your Quality Standards
Make sure you brush up on the key quality standards relevant to the pharmaceuticals and AI sectors. Familiarise yourself with GxP principles and how they apply to AI-driven products. This will show that you understand the importance of compliance and can contribute to maintaining high-quality standards.
✨Showcase Your Cross-Functional Experience
Since this role involves working with various teams like engineering and data science, be ready to discuss your experience collaborating across departments. Prepare examples of how you've successfully partnered with different teams to enhance quality processes or resolve issues in past projects.
✨Prepare for Risk Management Questions
Expect questions about risk assessments and how you've handled them in previous roles. Be prepared to discuss specific methodologies you've used, such as FMEA, and how you’ve implemented risk management strategies to ensure product integrity and compliance.
✨Stay Updated on Regulatory Changes
The regulatory landscape for AI is constantly evolving, so it’s crucial to stay informed about emerging frameworks. Research recent developments in AI regulations and be ready to discuss how these changes could impact quality assurance practices in the industry.
