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
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Head of Estates Data Engineering

Principal Data Scientist

Principal Data Scientist

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

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.