UCB Posted September 9, 2026

RWE Senior Expert - Special Patient Populations

Slough, Berkshire, United Kingdom Permanent
Notify me about similar jobs

UCB is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

Make your mark for patients

We are looking for a  RWE Senior Expert – Special Patient Populations who is collaborative, solutions-oriented, and passionate about leveraging real world data to improve the patient experience to join our Global Real World Evidence Team. This role can be based in Europe, either at our headquarters in Brussels, Belgium, or at one of our primary hubs in Monheim, Germany or Slough, United Kingdom. The position is also available in multiple locations across the United States. This hybrid role requires a minimum of 40% on-site presence and 5-10% domestic and international travel.

About the Role

You will lead the design and execution of global real-world evidence programs that generate insights to support research and development, guide strategic business decisions, advance understanding of disease and patient outcomes, and fulfill post-market requirements. Your work will help inform decision-making for a wide range of stakeholders, including patients, healthcare professionals, regulators, policymakers, and payers. A key focus of this role is generating evidence and developing real-world data capabilities for special patient populations, including women of childbearing age, pediatric patients, and older adults, to address critical clinical, regulatory, and healthcare decision-making needs.

You will be responsible for developing and strengthening real-world data capabilities across specific disease areas, with a particular focus on women of childbearing age and other specialized patient populations, including pediatric and elderly patients. Working closely with cross-functional partners, you will also shape and deliver the overarching real-world evidence strategy for key development and commercial assets.

Who you’ll work with

Internally, you will work closely with colleagues across Clinical Development, Medical Affairs, Drug Safety and Pharmacovigilance, Regulatory Affairs, Health Economics and Outcomes Research, Market Access, Biostatistics, Data Science, Evidence Generation, and Asset Strategy teams to develop and deliver evidence strategies that support decisions across the product lifecycle.

Externally, you will partner with academic researchers, healthcare providers, key opinion leaders, healthcare data partners, contract research organizations, and regulatory stakeholders to generate high-quality evidence, advance scientific understanding, and address critical clinical, regulatory, and market access questions.

What you’ll do

Lead the design and execution of global real-world evidence studies that support research, development, regulatory, medical, market access, and business decision-making.

Develop evidence-generation strategies for special patient populations, including individuals who are pregnant, pediatric populations, older adults, and other underrepresented patient groups.

Deliver complex observational research programs using real-world data and prospective data collection, ensuring scientific rigor, operational excellence, and timely execution.

Partner with cross-functional teams to identify evidence needs related to disease burden, treatment outcomes, safety, effectiveness, and patient care pathways across the product lifecycle.

Translate study findings into actionable insights and communicate results to internal stakeholders, external partners, scientific audiences, and regulatory bodies.

Collaborate with external experts, research partners, and healthcare data providers to advance innovative evidence-generation approaches.

Shape long-term evidence strategies for priority assets and disease areas while identifying opportunities to leverage new data sources, advanced analytics, machine learning, and artificial intelligence.

Serve as a trusted scientific advisor, championing robust methodologies and evidence-based decision-making across the organization.

Interested? For this role we’re looking for the following education, experience and skills

Minimum Experience/Skills Required:

Advanced degree in Life Sciences, Epidemiology, Health Economics, Biostatistics, Data Science, Public Health, or a related field.

At least 6 years of experience designing, leading, and delivering real-world evidence studies in the pharmaceutical, biotechnology, consulting, or academic sectors.

Demonstrated experience using primary and secondary healthcare data to generate evidence that informs clinical, regulatory, medical, or commercial decision-making.

Strong expertise in epidemiology, outcomes research, observational study design, and quantitative research methods.

Experience working across global or regional cross-functional teams and managing complex research initiatives from concept through execution.

Excellent written and verbal communication skills with the ability to present complex findings to diverse audiences.

Preferred Qualifications

Doctoral degree in Epidemiology, Outcomes Research, Public Health, Statistics, or a related scientific discipline.

Experience supporting evidence-generation strategies across the product lifecycle, including regulatory, medical affairs, market access, and health technology assessment needs.

Experience in maternal health, pregnancy, lactation, fertility, neonatal health, pediatric populations, older adult populations, or other special patient populations.

Proven track record of developing scientific publications, abstracts, posters, presentations, and peer-reviewed manuscripts.

Experience with innovative real-world evidence study designs, external control arms, comparative effectiveness research, and post-authorization safety or effectiveness studies.

Interest in applying advanced analytics, machine learning, and artificial intelligence to real-world data and evidence-generation activities.

Demonstrated ability to influence stakeholders and translate complex evidence into actionable business and scientific recommendations.

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 explicitly 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 federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.

Job details

Seniority
Senior
Function
Biostatistics & Data Science
Therapeutic area
Not listed
Location
Slough, Berkshire, United Kingdom
Employment type
Permanent

How this role compares

Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.

We currently track 114 comparable Senior Biostatistics & Data Science roles across 27 biopharma companies.

114Comparable roles tracked
103Currently active
27Companies hiring similar roles
15Countries represented

Salary context

54 of 114 peers report a salary range (USD, annualized)

Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.

This roleSubject Not listed on this posting
Lowest disclosed · Principal Computational Statistician · Lilly $66,000/yr – $193,600/yr
Highest disclosed · Biostatistics Associate Director (HYBRID) · Vertex Pharmaceuticals Inc (US) $174,800/yr – $262,200/yr
Peer group range $129,800 – $218,500 (median $185,913)

Where these roles are based

Top locations among the 114 comparable roles

United States72
Switzerland5
United Kingdom5
India5
Canada4
Japan4

+ 9 more countries

Seniority mix

114 of 114 peers have a known seniority level

Senior43
Principal37
Associate Director34

Therapeutic area mix

10 of 114 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Immunology4
Oncology3
Rare Disease2
Cardiovascular / CVRM1

Similar opportunities

The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.

60%similar
UCB Slough, Berkshire, United Kingdom Senior
Same function Same seniority Same country
60%similar
Roche Welwyn, Hertfordshire, United Kingdom Senior
Same function Same seniority Same country
60%similar
UCB Slough, Berkshire, United Kingdom Senior
Same function Same seniority Same country
60%similar
AstraZeneca Cambridge, Cambridgeshire, United Kingdom Senior
Same function Same seniority Same country
50%similar
Novartis London (The Westworks), United Kingdom Associate Director
Same function Adjacent seniority Same country
45%similar
Lilly Indianapolis, Indiana, United States of America Senior
Same function Same seniority

Notify me about similar jobs

Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.

How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

60%
Senior Real World Evidence Expert (UK)
UCB · Slough, Berkshire, United Kingdom · Senior
Function Therapeutic area Seniority Country
60%
Senior Scientist, Research Informatics & Data Science
AstraZeneca · Cambridge, Cambridgeshire, United Kingdom · Senior
Function Therapeutic area Seniority Country
45%
Sr. Advisor - Statistics
Lilly · Indianapolis, Indiana, United States of America · Senior
Function Therapeutic area Seniority Country
45%
Senior Data Scientist (Warszawa, Mazowieckie, PL)
Bayer · Warszawa, Poland · Senior
Function Therapeutic area Seniority Country
Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.