At a Glance
- Tasks: Lead AI governance and strategy in a groundbreaking health data environment.
- Company: Join UK Biobank, a leader in health data innovation.
- Benefits: Enjoy 26 days annual leave, flexible working, and a £500 training budget.
- Other info: Inclusive workplace welcoming diverse candidates with flexible hybrid working options.
- Why this job: Make a real impact on AI use in health research and policy.
- Qualifications: Experience in AI transformation and strong communication skills required.
The predicted salary is between 70000 - 80000 £ per year.
Help shape how AI is governed, deployed, and trusted within one of the world’s richest health data environments. Artificial intelligence is rapidly changing how organisations analyse, interpret, and use information. At UK Biobank, where researchers across the world access one of the most richly characterised health datasets ever created, the opportunities and responsibilities surrounding AI are significant. This is a rare opportunity to join at a pivotal moment. As AI Strategy & Transformation Lead, you’ll shape how UK Biobank approaches AI governance, policy, and transformation across the organisation and the wider research ecosystem. From enabling responsible innovation to safeguarding the future use of health data, the work in this role will have genuine long‑term impact.
Basic Details
- Application Deadline: 25 May 2026
- Department: Data Policy
- Location: London
- Compensation: £70,000 - £80,000 / year
Responsibilities
- Lead the development of iterative and informed AI data governance policy, supporting the latest research while balancing new data security and management risks posed by emerging models.
- Cultivate and maintain effective relationships with senior stakeholders across the AI and health data landscape, building and delivering productive partnerships with UK Biobank collaborators to develop ambitious but responsible AI use cases.
- Monitor scientific, policy, technological, and regulatory developments in AI through horizon scanning and expert engagement to identify best practices and emerging approaches, and develop an ambitious and coherent organisational AI strategy.
- Provide expert advice on strategic, technological, and policy considerations associated with AI to support wider organisational priorities, such as philanthropic fundraising or technical procurement.
Qualifications
- Hands‑on delivery experience leading AI transformation, digital change programmes, or adoption of emerging technologies in a regulated, public sector, or health environment.
- Proven experience analysing complex and competing technical, legal, and strategic factors, with the ability to interpret and apply them in policymaking and practical settings.
- Ability to engage confidently with technical and scientific specialists in areas such as data architecture, AI/ML research, cloud technologies, and digital platforms.
- Excellent communication skills, capable of engaging and influencing multidisciplinary and senior stakeholders, including at boards and committees, through presentations, concise reports, and other appropriate styles.
- Degree or higher degree in public health, health, policy, legal, scientific, data analysis or related disciplines.
Working hours are 35 hours per week, Monday to Friday, with some flexibility and hybrid working available. Located in London or Manchester. We actively welcome applications from people with disabilities, long‑term health conditions, neurodivergent candidates, and those with diverse thinking styles. We are committed to making reasonable adjustments throughout our recruitment process and in the workplace so that everyone can perform at their best.
Benefits
- 26 Days Annual Leave, plus Bank Holidays
- Holiday Buy Scheme
- Birthday Leave
- USS Pension Scheme
- Healthcare Cash Plan
- Enhanced Family Leave
- Cycle to Work Scheme
- Season Ticket Loan
- Professional Subscriptions
- £500 annual training budget
- Subsidised Canteen Lunches
- Employee Discounts Portal
- Employee Assistance Programme
- Annual Flu Vaccination
- Life Assurance Cover
AI Strategy and Transformation Lead in London employer: UK Biobank
At UK Biobank, we pride ourselves on being an exceptional employer, offering a supportive and wellbeing-focused culture that prioritises employee growth and development. With a range of benefits including generous annual leave, hybrid working options, and a commitment to diversity and inclusion, our Greater Manchester locations provide a dynamic environment for Information Security Engineers to thrive while contributing to groundbreaking biomedical research.
StudySmarter Expert Advice🤫
We think this is how you could land AI Strategy and Transformation Lead in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like UK Biobank!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Strategy and Transformation Lead at UK Biobank.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like UK Biobank.
✨Apply Directly through Our Website
When you find a suitable opening like AI Strategy and Transformation Lead at UK Biobank, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Strategy and Transformation Lead in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at UK Biobank, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UK Biobank. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at UK Biobank
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at UK Biobank!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
