AI Science Manager (Engagement Manager) - AI-accelerated Clinical Development in London

AI Science Manager (Engagement Manager) - AI-accelerated Clinical Development in London

London Full-Time 70000 - 90000 € / year (est.) No home office possible
IQVIA

At a Glance

  • Tasks: Lead AI projects in clinical development, translating client goals into actionable plans.
  • Company: Join IQVIA, a leader in AI-driven life sciences solutions.
  • Benefits: Competitive pay, mentorship, and a clear growth path in your career.
  • Other info: Collaborative environment with opportunities to work on cutting-edge AI technologies.
  • Why this job: Make a real impact on healthcare through innovative AI solutions.
  • Qualifications: 3-5 years in consulting or data science, with strong project management skills.

The predicted salary is between 70000 - 90000 € per year.

Join a Ground-Breaking AI Initiative at IQVIA. IQVIA is assembling a world-class team to create large-scale AI solutions, leveraging cutting-edge machine learning architectures. Our mission is to integrate data across clinical, real-world, and biomedical sources, unlocking new insights into patient trajectories and transforming how we understand and anticipate health outcomes.

About the Role: We are seeking a Manager / Engagement Manager to lead the day‑to‑day delivery and execution of cutting‑edge AI projects in the Life Sciences R&D space, with a core focus on Clinical Development Optimization. In this role, you will be responsible for managing one or more client engagements, translating strategic objectives into actionable plans, and ensuring high‑quality delivery of AI‑enabled solutions. This is a hands‑on, client‑facing role for someone who enjoys operating at the intersection of project leadership, applied AI and life sciences domain expertise. You will work closely with senior stakeholders, owning the operational management of engagements while contributing to solution design, client communication, and delivery excellence.

Key Responsibilities

  • Client Engagement & Day‑to‑Day Leadership: Serve as the primary day‑to‑day point of contact for client stakeholders on assigned engagements. Manage client expectations, communication, and delivery cadence, escalating risks and decisions as needed. Support engagement shaping activities, including contributing to proposals, workplans, and client presentations. Help translate high‑level client objectives into clear scopes, milestones, and delivery plans. Build trusted working relationships with client team members across clinical, data, and technology functions.
  • Project Management & Delivery Execution: Lead the end‑to‑end execution of 1–2 AI‑enabled client engagements at a time, ensuring delivery against scope, timeline, and quality expectations. Manage cross‑functional project teams including data scientists, engineers, clinicians, and analysts. Coordinate day‑to‑day activities such as sprint planning, backlog prioritization, dependency management, and delivery tracking. Oversee delivery of AI/ML solutions related to clinical development simulation, leveraging real‑world data (RWD), clinical trial data, and other structured and unstructured sources. Work closely with technical leads to ensure AI solutions are scientifically sound, technically robust, and client‑ready. Support development and application of IQVIA’s foundation AI simulation capabilities within client engagements. Identify risks, issues, and trade‑offs early and proactively drive resolution.
  • Solution & Capability Contribution: Contribute to the design and refinement of AI roadmaps, PoCs, ML pipelines, and deployment approaches within projects. Help operationalize emerging AI capabilities into repeatable delivery patterns and client‑ready solutions. Collaborate with third‑party technology partners and internal platform teams to support successful delivery. Provide coaching and guidance to junior team members, supporting their professional development on projects. Capture delivery learnings and feedback to help inform future offerings and engagement approaches.

Ideal Candidate Profile

  • Must‑Haves: 3–5+ years of experience in Consulting, AI, or Data Science–driven delivery roles. Strong experience managing complex client projects, preferably in Life Sciences or healthcare. Working knowledge of AI/ML concepts, including generative AI and foundation model–based approaches. Domain experience in Life Sciences, ideally Pharma R&D, Clinical Trials, or Clinical Operations. Proven ability to manage multiple workstreams, stakeholders, and delivery risks simultaneously. Comfortable working directly with clients and coordinating diverse technical and domain teams. Strong ownership mindset with a bias toward execution and problem solving.
  • Nice‑to‑Haves: Prior experience at a top-tier consulting firm or in a client‑facing delivery role. Exposure to clinical trial data, real‑world evidence (RWE), or trial optimization use cases. Familiarity with regulatory and data governance considerations in clinical data environments. Experience working with cloud or AI platforms such as AWS, Azure ML, Databricks or foundation model tools.

What We’re Looking For

  • Strong engagement operator: You keep complex projects moving forward.
  • Structured thinker: You can break ambiguous problems into executable plans.
  • Collaborative leader: You bring teams together across disciplines.
  • Curious and adaptable: You’re comfortable working with evolving AI capabilities and delivery models.
  • Impact‑oriented: You care about improving how clinical development is done.

What We Offer

  • The opportunity to work at the front line of AI‑driven transformation in life sciences.
  • Ownership of meaningful client engagements with real clinical impact.
  • Clear growth path toward Associate Principal and beyond.
  • Exposure to next‑generation foundation AI capabilities.
  • A collaborative, mission‑driven team environment with strong mentorship.
  • Competitive compensation and benefits.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.

AI Science Manager (Engagement Manager) - AI-accelerated Clinical Development in London employer: IQVIA

At IQVIA, we pride ourselves on being at the forefront of AI-driven transformation in life sciences, offering our employees the chance to engage in meaningful client projects that have a real impact on patient outcomes. Our collaborative and mission-driven work culture fosters professional growth through strong mentorship and clear pathways for advancement, while our competitive compensation and benefits package ensures that our team members feel valued and supported. Join us in a dynamic environment where innovation meets purpose, and help shape the future of clinical development.

IQVIA

Contact Detail:

IQVIA Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Science Manager (Engagement Manager) - AI-accelerated Clinical Development in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend relevant events, and connect with potential colleagues on LinkedIn. Building relationships can open doors that a CV just can't.

Tip Number 2

Prepare for interviews by researching the company and its projects. Understand their AI initiatives and think about how your experience aligns with their goals. This will help you stand out as a candidate who truly gets what they’re about.

Tip Number 3

Showcase your problem-solving skills during interviews. Be ready to discuss specific challenges you've faced in past roles and how you tackled them. This is especially important for a role that involves managing complex client projects.

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 mission-driven team.

We think you need these skills to ace AI Science Manager (Engagement Manager) - AI-accelerated Clinical Development in London

Client Engagement
Project Management
AI/ML Concepts
Life Sciences Domain Expertise
Stakeholder Management
Problem Solving
Communication Skills

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the AI Science Manager role. Highlight your experience in managing complex client projects and your knowledge of AI/ML concepts, especially in the life sciences sector.

Showcase Your Leadership Skills:In your application, emphasise your ability to lead cross-functional teams and manage client expectations. We want to see how you've successfully driven projects forward and built trusted relationships with stakeholders.

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to describe your achievements and how they relate to the responsibilities of the role. Avoid jargon unless it's relevant to the position.

Apply Through Our Website:We encourage you to submit your application through our website. This ensures that your application is reviewed promptly and gives you the best chance to stand out in our hiring process.

How to prepare for a job interview at IQVIA

Know Your AI Stuff

Make sure you brush up on your AI and machine learning concepts, especially those relevant to clinical development. Be ready to discuss how you've applied these in past projects, as this role is all about translating complex ideas into actionable plans.

Client Engagement is Key

Since this role involves a lot of client interaction, practice how you'll communicate with stakeholders. Think about how you can build trust and manage expectations effectively. Prepare examples of how you've successfully navigated client relationships in the past.

Project Management Skills Matter

Get familiar with project management methodologies, especially if you've worked with cross-functional teams before. Be prepared to share specific instances where you led a project from start to finish, highlighting your ability to manage timelines and deliverables.

Show Your Collaborative Spirit

This position requires working closely with diverse teams, so be ready to demonstrate your collaborative skills. Think of examples where you brought different disciplines together to achieve a common goal, and how you adapted to challenges along the way.