Validation & Compliance Specialist in London

Your impact begins here.

You will drive the validation of clinical data science processes, including those that use AI and emerging data types, so they are fit for intended use before they touch study data. By spotting defects and weighing risks early, you protect patient safety, data integrity and clinical results. You will also help build Novo Nordisk's AI validation expertise in Good Clinical Practice (GCP) environments, shaping how AI is used responsibly in clinical research.

What you'll bring:

• A strong validation and compliance background and the initiative to find risks before they affect clinical results.
• A degree in information technology, computer science, engineering, data science, life sciences or a related discipline, or equivalent relevant professional experience.
• Substantial experience in validation and compliance in pharmaceuticals, biotechnology, medical devices or clinical research, including leading validation activities and investigating quality issues.
• A strong understanding of risk-based validation, data integrity, testing evidence, change control, deviation handling and documentation within a quality management system.
• The ability to evaluate how systems, integrations, infrastructure and supplier services support controlled, reproducible workflows.
• An interest in AI validation, including model evaluation, bias, human oversight and monitoring, and the motivation to develop expertise.
• The ability to turn complex technical and scientific information into clear requirements and validation documentation, with excellent written and spoken English.
• Strong planning and stakeholder management skills, sound judgement, and the ability to guide colleagues and resolve issues across disciplines.
• A proactive, investigative approach: you initiate reviews, challenge assumptions constructively, prioritise findings and follow corrective actions through to resolution.

Useful but not essential:

• Experience with GCP-regulated clinical research, clinical data science, analytical workflows, AI evaluation or governance, Python or R programming, open-source components, reproducible analyses, automated testing, or audits and inspections.
• An established AI validation specialisation is desired but not a prerequisite. We welcome experienced validation professionals who want to grow in this area.

What you'll do:

• You will make sure clinical data science processes are proven fit for use, with evidence that is clear, traceable and audit-ready.
• Drive validation planning and coordination for new or updated clinical data science processes, from data ingestion and preparation through analysis, output verification and finalisation.
• Assess and document process risks with the Project Clinical Data Scientist, who owns the process, linking intended use and requirements to controls that protect patient safety, data integrity and clinical results.
• Prepare and maintain Process Validation Plans and Reports, assemble supporting evidence and secure the required approvals before production use.
• Work with relevant owners to assess system validation, infrastructure qualification, supplier controls and script or open-source reviews.
• Run risk-based walkthroughs and spot checks, and perform Process Validation Reviews after use on study data and before deliverable lock.
• Document findings, escalate unresolved risks and coordinate corrective actions and revalidation.
• Assess changes, deviations and incidents for their impact on processes, previously processed data and results, and decide what validation is needed.
• Support the AI System Responsible and AI specialists in defining context of use, model risk, evaluation criteria and human oversight.
• Challenge evaluation evidence, data quality and bias assessments, and assess risks in AI and digital-device workflows, including provenance, manual annotations, audit trails and reproducibility.
• Coach colleagues, use findings to improve validation templates, procedures and training, and explain the validation approach in audits and inspections.

Who you'll work with:

You will be a member of a validation team within AI & Digital Innovation, part of Research & Development. Day to day, you will work with Quality Assurance (QA) colleagues, data scientists, AI specialists, software developers, IT solution owners, platform teams, validation engineers, data and AI governance colleagues, and external partners. Your closest partner on each process is the Project Clinical Data Scientist who owns it. Together with QA and technical colleagues, you will keep risks visible, decisions clear and actions moving.

The role involves occasional business travel, typically 4-5 times per year, with trips lasting approximately 3-5 days. These visits will primarily support participation in conferences, knowledge-sharing events, and in-person collaboration with local and cross-functional team members. The travel is intended to strengthen team alignment, foster collaboration across sites, and support professional development through engagement with the broader scientific, AI, and validation communities.

What you can expect:

You will work with experts across science, technology and quality, where your judgement is valued and your voice is heard. You will build new skills in AI validation and governance while applying the expertise you already have, supported to perform at your best and trusted to take ownership.

Working at Novo Nordisk:

Every day we seek the solutions that defeat serious chronic diseases. To do this, we approach our work with determination, constant curiosity and a commitment to finding better ways forward. For over 100 years, this dedication has driven us to build a company focused on lasting change for long-term health. One where diverse thinking, shared purpose and mutual respect come together to create extraordinary results. When you join us, you're not just starting a job – you're becoming part of a story that spans generations.

What we offer:

There is, of course, more on offer here than the uniqueness of our culture and the extraordinary results we produce. Being part of a global healthcare company means opportunities to learn and develop are all around us, while our benefits are designed with your career and life stage in mind.

Application Support:

We are an equal opportunities employer, and we commit to an inclusive recruitment process and equality of opportunity for all our job applicants. If you're a person with a disability, if you're neurodivergent, and need any adjustments to be made during the application and selection process, please send an email to . Please include your name, the role you are interested in and the type of adjustment you need.

Deadline 19 November 2026

You do not need to attach a cover letter to your application, but please include a few sentences about why you are applying in your resume or CV. To ensure an efficient and fair recruitment process, please refrain from adding a photo in your CV. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.