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UCB

Senior Real World Evidence Expert (Germany)

UCB is hiring a Senior Real World Evidence Expert (Germany). Level rates it ; you can apply on UCB.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classes it as a senior role.
  • UCB has 341 other open roles on Level.

AI in this role

 

Make your mark for patients

 

We are looking for a Senior Real World Evidence Expert who is scientifically rigorous, strategically minded, and collaborative to join our Real‑World Evidence (RWE) team, helping to shape evidence generation strategies that support better decisions for patients, healthcare systems, and the broader scientific community. This position can be based in Brussels, Belgium; Slough, UK; Monheim, Germany or Atlanta, USA.

 

About the Role
As Senior RWE Expert, you will be responsible for designing and delivering global real‑world evidence (RWE) studies that generate impactful insights across the product lifecycle. You will contribute to strategic decision‑making by developing evidence that supports research and development activities, regulatory requirements, payer needs, and clinical practice.

In this role, you will help drive the development of asset‑level RWE strategies, working closely with cross‑functional stakeholders to identify evidence gaps, generate meaningful insights, and advance innovative approaches to evidence generation. You will also contribute to the evolution of real‑world data capabilities and methodologies that strengthen UCB’s ability to address complex healthcare challenges.

 

Who You’ll Work With
You will work closely with RWE Strategy Leads, Epidemiology and Evidence Synthesis teams, Safety and Pharmacovigilance colleagues, Biostatisticians, Data Scientists, and external research partners. You will collaborate across global functions to ensure evidence generation activities are aligned with strategic priorities and deliver meaningful value to patients and stakeholders.

 

What You’ll Do

  • Lead the design, execution, and delivery of complex global RWE studies on time and within budget.
  • Develop study concepts, protocols, statistical analysis plans, and study documentation to support evidence generation objectives.
  • Drive epidemiology, natural history, disease burden, comparative effectiveness, safety, and post‑launch evidence generation initiatives.
  • Lead secondary data studies and represent RWE in primary data collection study teams.
  • Collaborate with external vendors, academic researchers, and medical experts to ensure high‑quality study execution.
  • Interpret and communicate study findings to both internal and external stakeholders.
  • Support the development and execution of asset‑level RWE strategies and evidence plans.
  • Identify and implement innovative study designs, advanced analytics methodologies, and new real‑world data sources.
  • Contribute to scientific publications, abstracts, posters, presentations, and external communications.
  • Act as a trusted subject matter expert, providing strategic guidance and championing scientifically robust methodologies.

 

Interested? For this role we’re looking for:

  • Master’s degree, PhD, MD, or equivalent qualification in epidemiology, outcomes research, health economics, biostatistics, life sciences, or a related discipline.
  • Significant experience designing and delivering real‑world evidence studies using primary and/or secondary data sources.
  • Strong expertise in epidemiology, pharmacoepidemiology, outcomes research, health economics, biostatistics, data science, or related quantitative disciplines.
  • Experience working within pharmaceutical, biotechnology, consulting, or academic research environments.
  • Excellent communication skills with the ability to translate complex evidence into clear and actionable insights.
  • Passion for innovation, scientific excellence, and the application of emerging technologies, including AI‑enabled approaches within real‑world evidence generation.

 

 

Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you! 

 

About us 
UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9.000 people in all four corners of the globe, inspired by patients and driven by science. 

 

Why work with us? 
At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential. 

 

At UCB, we’ve embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless expressly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office.

 

UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable laws. 
 
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on EMEA-Reasonable_Accommodation@ucb.com. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.

How we rate this

Senior Real World Evidence Expert (Germany) at UCB rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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