Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Clinical Specialist

IQVIA
Birmingham
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Senior Lead Clinical Data Science Programmer

Machine Learning Engineer

Machine Learning Engineer

Senior Director, AI and Machine Learning– Evinova

Photoplethysmography (PPG) AI Data Scientist in Health (KTP Associate) - REDEPLOYEE ONLY

About the Role

:

The ideal candidate will have prior radiology experience, whether as a previous clinical specialist within radiology, radiology nurse, or radiology sales professional. We are looking for a driven individual who is motivated and independent. This role involves travelling to key hospitals across the UK with occasional overnight stays, offering an excellent opportunity to gain national exposure.

Key Responsibilities:

Attend live cases in customer accounts, serving as a technical consultant and providing education to build competence and confidence among physicians and clinical staff. Provide clinical support to new customers during their learning curve and for increasing product adoption. Meet and exceed targets for your geographic area, maximising opportunities. Ensure timely and accurate reporting of any complaints or technical issues, following documented procedures. Develop key relationships with new and existing customers to cultivate clinical champions and deliver fellows education programmes. Maintain expert-level knowledge of commercially available products. Seek opportunities within accounts to increase system utilisation and probe usage, and encourage specialty discipline adoption. Deliver customer training plans and effectively transfer knowledge to empower customers to use the system effectively and independently. Adopt Credo-based principles in all interactions with internal and external customers.

The Perfect Candidate:

Strategic thinker with a big-picture approach. Excellent interpersonal skills with the ability to build strong relationships quickly. Capacity to gain in-depth product and procedure knowledge and communicate effectively with all key stakeholders. Self-disciplined, organized, and able to take ownership and responsibility for business objectives. Highly motivated with a strong desire to succeed in a demanding role. A team player and independent thinker. Ability to positively influence thinking, behaviour, and gain commitment. Full and clean driving license required.

If you are ready to take on a challenging and rewarding role that offers the opportunity to travel and make a difference in the healthcare industry, we want to hear from you! Apply now to join our dedicated team and help us drive the future of radiology.

Please note: sponsorship is not available for this opportunity.

#LI-CES #LI-LJ1

IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. Learn more at

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.