Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI pilots to solve real clinical development challenges and drive impactful solutions.
- Company: Join a leading pharma company focused on innovative AI solutions.
- Benefits: Competitive salary, bonuses, health benefits, and generous leave policies.
- Other info: Dynamic work environment with opportunities for growth and learning.
- Why this job: Make a difference in clinical trials using cutting-edge AI technology.
- Qualifications: Bachelor's degree and 4+ years in Pharma strategy or applied AI roles.
The predicted salary is between 70000 - 90000 ÂŁ per year.
As Lead, AI Acceleration, you will support the AI‑native Development Operations strategy through the design and delivery of AI pilots that address real operational problems in clinical development. You will work hands‑on with clinical operations users, vendors, and enterprise partners to shape hypotheses, test solutions in practice, build evidence of value, and make clear recommendations on whether to stop, iterate, or scale. You will help scale solutions from pilot to enterprise adoption and drive measurable impact to clinical development.
Key Responsibilities
- Proactively identify AI opportunities across Development Operations by scanning workflows, engaging teams, and translating bottlenecks into clear pilot hypotheses and success criteria.
- Maintain an active outside‑in view of emerging AI capabilities, workflow innovations, and evolving ways of working, and convert those signals into strategic recommendations, roadmap updates, and new opportunity areas.
- Scope and run AI pilots end‑to‑end, including design, delivery approach, execution oversight, and recommendations on whether to stop, iterate, or scale.
- Partner with vendors and enterprise technology teams to ensure pilots are robust, compliant, usable, and positioned to scale using shared foundations if successful.
- Manage delivery risks, dependencies, and partner performance across active pilots to maintain momentum and execution quality.
- Build proof‑of‑value cases using measures including time saved, quality improvement, user adoption, risk reduction, and readiness to scale.
- Use AI‑native development tools to run hands‑on use‑case testing alongside technology teams and business SMEs, validating feasibility and value before committing to full deployment.
- Inform portfolio and investment decisions by identifying patterns across pilots, synthesising pilot findings, adoption data, and operational intelligence, and making evidence‑based recommendations on what to prioritise, accelerate, reshape, or stop.
- Drive adoption for priority AI‑native capabilities, including workflow redesign, user readiness, and change interventions required for scaled deployment.
Stakeholder Management
- R&D leaders and business owners: shape pilots around real bottlenecks, working practices, and user needs; drive solutions from pilot to scaled adoption.
- Enterprise AI and technology teams: enable infrastructure, access, integration, and compliant deployment.
- Vendors and delivery partners: assess capabilities, collaborate effectively, and drive measurable value.
- Portfolio and functional leaders: use evidence from pilots to inform prioritisation, investment, and scale decisions.
Basic Qualifications
- Bachelor’s degree in Life Sciences, Engineering, Computer Science, Business, or a related field.
- 4+ years of experience in Pharma strategy, applied AI/technology, transformation, or programme delivery roles.
- Experience in clinical operations and wider clinical development, gained in industry, consulting or other relevant settings.
- Experience solving ambiguous problems and turning analysis into action.
- Experience moving from problem definition through pilot design to clear recommendation, with ownership of delivery end‑to‑end.
- Experience working across users, partners, and cross‑functional teams to deliver measurable outcomes in fast‑moving, ambiguous environments.
- Experience with AI‑native development tools, including frontier agentic development tools (e.g., Claude, Code, Codex), and rapid prototyping practice.
Preferred Qualifications
- Advanced degree (PhD, MBA, MSc, or equivalent) in a relevant discipline.
- Experience in top‑tier strategy, venture build, applied AI, or builder‑led digital consulting environments.
- Knowledge of industry trends and technologies shaping the future of clinical trials.
- Experience building business cases, ROI models, or evidence for scaling new capabilities in enterprise settings.
- Understanding of GxP expectations relevant to deploying AI in clinical operations.
- Experience driving AI‑enabled capabilities beyond pilot through to value delivery and scaling at portfolio level.
- Exceptional written and verbal communication, with the ability to translate complex strategic and technical topics for senior, non‑technical audiences.
Salary and Benefits
The annual base salary for this role is based on location, experience, and qualifications. In addition to a base salary, the position offers an annual bonus and eligibility to participate in a share‑based long‑term incentive program. Benefits include health care and other insurance benefits for employees and families, retirement benefits, paid holidays, vacation, paid caregiver/parental and medical leave, and statutory benefits in each jurisdiction.
Equal Opportunity
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law.
AI Acceleration Lead in Stevenage employer: WISE Campaign
Contact Detail:
WISE Campaign Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Acceleration Lead in Stevenage
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. The more people you know, the better your chances of landing that AI Acceleration Lead role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with AI pilots and clinical operations. This will give you an edge when discussing your hands-on experience during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses. Focus on how you've tackled ambiguous problems and delivered measurable outcomes in past roles.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to reflect your understanding of the role and how you can drive AI-native capabilities in clinical development.
We think you need these skills to ace AI Acceleration Lead in Stevenage
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in AI and clinical operations. We want to see how your skills align with the role of AI Acceleration Lead, so don’t hold back on showcasing relevant projects!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled ambiguous problems in the past. We love candidates who can turn analysis into action, so share specific instances where you’ve made a measurable impact.
Highlight Collaboration Experience: Since this role involves working with various stakeholders, make sure to mention your experience collaborating with cross-functional teams. We’re looking for someone who can effectively partner with users, vendors, and tech teams to drive solutions.
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 at StudySmarter!
How to prepare for a job interview at WISE Campaign
✨Know Your AI Tools
Familiarise yourself with AI-native development tools like Claude, Code, and Codex. Be ready to discuss how you've used these tools in past projects, as this will show your hands-on experience and understanding of their application in clinical operations.
✨Understand the Clinical Landscape
Brush up on current trends and challenges in clinical development. Being able to speak knowledgeably about industry innovations and how they relate to AI can set you apart from other candidates. Show that you can translate complex problems into actionable pilot hypotheses.
✨Prepare Evidence-Based Recommendations
Think about how you would build proof-of-value cases using metrics like time saved and quality improvement. Be prepared to share examples from your experience where you've successfully moved from problem definition to clear recommendations, demonstrating your end-to-end delivery skills.
✨Engage Stakeholders Effectively
Practice how you would communicate with various stakeholders, from R&D leaders to vendors. Highlight your ability to shape pilots around real bottlenecks and user needs, and be ready to discuss how you've driven solutions from pilot to scaled adoption in previous roles.