National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Functional Service Provider Head, Real World Evidence

Pharmiweb
Reading
4 months ago
Applications closed

Related Jobs

View all jobs

Data Science Graduate

Head of Data Engineering & Insight

Head of Data Engineering & Insight (London)

Head of Data Engineering & Insight

Principal Data Scientist

Lead 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

National AI Awards 2025

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.