At a Glance
- Tasks: Lead AI projects in Life Sciences, crafting strategies and guiding technical delivery.
- Company: Join IQVIA, a leader in clinical research and healthcare intelligence.
- Benefits: Enjoy autonomy, flexibility, and support for innovation in a mission-driven team.
- Why this job: Shape the future of AI in Pharma R&D and make a real impact on healthcare.
- Qualifications: 5-10+ years in AI consulting with strong leadership and business development skills.
- Other info: Be part of a dynamic team passionate about transforming healthcare through AI.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Join a GroundâBreaking AI Initiative at IQVIA. IQVIA is building a worldâclass team to develop largeâscale AI solutions using cuttingâedge machine learning architectures. Our mission is to integrate data across clinical, realâworld, and biomedical sources to unlock new insights into patient trajectoriesâand transform how we understand and anticipate health outcomes.
About the Role
We are seeking a Director or Principalâlevel Consultant to lead the selling and delivery of cuttingâedge AI projects in the Life Sciences R&D space, with a key focus on Clinical Development Optimization. This highâimpact, clientâfacing role requires someone who can craft strategic AI roadmaps while also guiding technical solution delivery alongside data scientists and engineers. You will play a pivotal role in shaping a new practice, growing a team, and influencing the future of AI in Pharma R&D.
Key Responsibilities
- Client Engagement & Business Development
- Lead the full sales cycle: opportunity identification, proposals, client presentations, and deal closure.
- Act as a trusted advisor to senior stakeholders across Pharma and Life Sciences.
- Identify and cultivate new opportunities across Clinical R&D.
- Sell firstâinâclass AI solutions, including offerings still in development that require coâcreation with clients.
- Develop compelling narratives around IQVIAâs newest AI solutions and systems.
- Project Leadership & Delivery
- Design and oversee delivery of AI/ML projects involving clinical development simulation, RWD, trial data, omics, and other structured/unstructured sources.
- Manage crossâfunctional teams to ensure highâquality, onâtime delivery and client satisfaction.
- Support development of nextâgeneration foundationâmodel initiatives.
- Design, develop, deploy, and evangelize scalable, highâperformance AI solutions using stateâofâtheâart platforms.
- Lead multidisciplinary teams combining industry, technical, and functional expertise.
- Guide development of AI strategy roadmaps, PoCs, ML pipelines, and deployment strategies.
- Collaborate with external technology partners for successful delivery.
- Practice Building
- Shape and scale a new AI Life Sciences practice, including defining offerings and mentoring new team members.
- Contribute to thought leadership (white papers, conferences, workshops).
- Foster an agile, innovative, impactâdriven team culture.
Ideal Candidate Profile
- MustâHaves
- 5â10+ years in Consulting with focus on AI, Data Science, or Digital Transformation.
- Experience in both business development and delivery of complex AI/ML projects.
- Strong understanding of AI/ML techniques (supervised, unsupervised, generative AI, LLMs, agentic AI).
- Domain expertise in Life Sciencesâideally Pharma R&D, Clinical Trials, or Clinical Operations.
- Demonstrated ability to manage senior client relationships as a strategic advisor.
- Leadership experience managing consultants, data scientists, and technical teams.
- Proven ability to conceive, sell, and deliver novel solutions.
- Strong drive, ownership, and execution mindset.
- NiceâtoâHaves
- Experience at a topâtier consulting firm.
- Understanding of regulatory and governance frameworks (HIPAA, 21 CFR Part 11).
- Exposure to RWE, biomarker discovery, or trial optimization.
- Experience with agentic AI or LLM orchestration in Life Sciences.
- Familiarity with platforms such as AWS, Azure ML, Databricks, foundationâmodel platforms (e.g., ChatGPT, Claude), or modern code/AI tooling.
What Weâre Looking For
- Polymath mindset: Ability to combine strategy, technical depth, and stakeholder influence.
- Entrepreneurial drive: Motivation to build a new capability, team, and practice.
- Creative problem solver: Ability to execute under ambiguity with a âjugaadâ spirit.
- Missionâorientation: A genuine desire to transform how medicines are discovered and developed.
What We Offer
Opportunity to lead and shape a highâgrowth business unit at the forefront of AI in Life Sciences. Autonomy, flexibility, and strong support for innovation. A missionâdriven team passionate about transforming healthcare through AI.
AI Consultant - Principal employer: IQVIA LLC
Contact Detail:
IQVIA LLC Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land AI Consultant - Principal
â¨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, and donât be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
â¨Tip Number 2
Prepare for interviews by researching the company and its projects. Understand their AI initiatives and think about how your skills can contribute. Practice common interview questions and be ready to discuss your past experiences in detail.
â¨Tip Number 3
Showcase your expertise! Create a portfolio or case studies of your previous work in AI and data science. This will not only demonstrate your skills but also give you something tangible to discuss during interviews.
â¨Tip Number 4
Donât just apply anywhereâapply through our website! Tailor your application to highlight how your experience aligns with the role of AI Consultant at IQVIA. Make it clear why youâre the perfect fit for this groundbreaking initiative.
We think you need these skills to ace AI Consultant - Principal
Some tips for your application đŤĄ
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Consultant role. Highlight your experience in AI, data science, and life sciences, and show us how you can contribute to our mission at IQVIA.
Showcase Your Achievements: Donât just list your responsibilities; we want to see your impact! Use specific examples of projects you've led or contributed to, especially those that involved AI/ML solutions in clinical development.
Be Authentic: We value honesty and professionalism, so be yourself in your application. Share your passion for AI and how it drives you to transform healthcare. Let your personality shine through!
Apply Through Our Website: For the best chance of success, make sure to submit your application through our official website. This way, we can easily track your application and get back to you faster!
How to prepare for a job interview at IQVIA LLC
â¨Know Your AI Inside Out
Make sure you brush up on the latest AI/ML techniques, especially those relevant to Life Sciences. Be prepared to discuss your experience with supervised and unsupervised learning, generative AI, and LLMs. This will show that youâre not just familiar with the concepts but can also apply them in real-world scenarios.
â¨Craft Compelling Narratives
Since you'll be developing narratives around AI solutions, practice telling a story about your past projects. Highlight how you identified opportunities, crafted strategies, and delivered results. This will demonstrate your ability to engage clients and stakeholders effectively.
â¨Showcase Your Leadership Skills
Be ready to discuss your experience managing teams and leading projects. Share specific examples of how you've guided cross-functional teams to success, especially in complex AI/ML projects. This will illustrate your capability to lead and mentor others in a high-impact role.
â¨Understand the Business Side
Since this role involves business development, make sure you can articulate how youâve successfully sold AI solutions in the past. Prepare to discuss your approach to client engagement and how youâve built strong relationships with senior stakeholders in Pharma and Life Sciences.