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

Apply Now

Functional Service Provider Head, Real World Evidence

Pharmiweb
Reading
6 months ago
Applications closed

Related Jobs

View all jobs

Junior Data Analyst (Operations)

Data Engineering and Operations Lead

Data Engineer

Data Analyst - AML/KYC- London

Senior Data Analyst

Contract Data Engineer

Job Overview

We are excited to announce a new opportunity for Head of Real-World Evidence FSP Solution at IQVIA. This pivotal role is designed to develop the solution architecture and establish the delivery model for our Real-World Evidence (RWE) Functional Service Provider (FSP) in response to the growing market demand for insourced RWE expertise in Epidemiology, Data Science, Psychometrics, Health Economics, and more. Reporting directly to Vice President & General Manager of Scientific Services, Real World Evidence, this role will collaborate closely with the RWE Scientific Services Business Heads.

Key Responsibilities

  • Strategic Leadership: Drive FSP sales, revenue, and margin to achieve business goals.
  • Value Proposition Creation: Develop and present the IQVIA RWE FSP value proposition, including external client sales decks and internal training materials. Lead training sessions for internal teams.
  • Business Development: Lead FSP opportunities, proposals, and bid defenses in collaboration with GTM and IQVIA delivery teams.
  • Performance Management: Establish and track business, sales, and delivery KPIs. Report progress to internal stakeholders.
  • Operational Oversight: Manage and oversee the delivery of awarded work.
  • Collaborative Scoping: Work with Strategic and RWE Pricing Teams, Proposals, Account Directors, Talent Acquisition, HR, and RWE delivery teams to define the RWE FSP offering.
  • Cross-Functional Collaboration: Develop collaboration models with other IQVIA functional sourcing teams.

Experience and Competencies

  • Proven 10+ experience in FSP roles in CRO, ideally within scientific or technical domains.
  • Expertise in go-to-market activities, including pricing, proposals, bid defense, and contracts.
  • Real World Evidence experience & expertise.
  • Familiarity with scientific positions within FSP - experience in creating offers that include scientific profiles, e.g.: biostatisticians, statistical programmers, data managers, medical writers etc.
  • Demonstrated ability to create compelling and professional content.
  • Strong line management experience.
  • Competencies: exceptional ownership, communication, and collaboration skills; strong negotiation and influencing abilities, content-driven mindset with a focus on delivering high-quality results.

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. Learn more athttps://jobs.iqvia.com

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.