UCB Posted August 5, 2026

RWE Strategy Lead, Developed Brands

Boston, Massachusetts, United States OTHER
Biostatistics & Data Science

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 Strategy Lead Developed Brands, Immunology who is collaborative, solutions-oriented, and passionate about leveraging real world data to improve the patient experience to join our  HTA and Payer Team. This role can based in Cambridge, Massachusetts, Raleigh, North Carolina, or in Atlanta, Georgia. 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 development and execution of global real-world evidence (RWE) strategies that support the value, safety, effectiveness, and patient impact of UCB’s therapies. You will identify critical evidence needs for existing product lifecycle and translate them into further integrated RWE, epidemiology, outcomes research, and data strategies that inform regulatory, market access, reimbursement, and business decisions, while supporting and expanding our patient access reach. This strategic leadership role requires a deep understanding of evidence generation, healthcare data, and the evolving external landscape. You will drive the use of innovative study designs, registries, real-world data sources, and emerging technologies to address key evidence gaps and ensure decision-makers have the insights needed to improve outcomes for patients. Success in this role requires scientific expertise, strategic thinking, and the ability to influence complex evidence agendas while balancing diverse stakeholder needs and long-term business priorities.

Who you’ll work with

Internally, you will work with colleagues across Real World Evidence, Medical Affairs, Clinical Development, Pharmacovigilance, HEOR, Market Access, Safety, Epidemiology, Patient Impact, and Data & Analytics functions to shape evidence strategies, identify evidence gaps, and generate insights that support  and defend , reimbursement, and business decisions.

Externally, you will work with academic researchers, healthcare data providers, registry organizations, contract research organizations (CROs), scientific experts, and industry stakeholders to advance evidence-generation initiatives, access relevant data sources, and ensure the delivery of high-quality, decision-grade evidence.

What you’ll do

Develop and co lead integrated real-world evidence (RWE), epidemiology, outcomes research, and data strategies that support UCB’s assets across the product lifecycle.

Identify evidence gaps and define research plans that address regulatory, market access, reimbursement, safety, and patient-centered evidence needs.

Shape evidence-generation strategies using real-world data, registries, external control arms, innovative study designs, and other fit-for-purpose methodologies.

Anticipate evolving scientific, regulatory, and business challenges and translate them into actionable evidence solutions and investments.

Oversee the execution of RWE studies and programs, ensuring delivery on time, within budget, and in accordance with quality and governance standards.

Drive alignment across complex evidence-generation activities, balancing the needs of multiple stakeholders while maximizing impact and efficiency.

Provide strategic guidance on topics including disease burden, natural history, comparative effectiveness, long-term outcomes, drug utilization, safety commitments, and health technology assessment requirements.

Leverage emerging technologies, including AI-enabled approaches, to enhance data strategy, evidence generation, and decision-making.

Mentor and develop RWE talent while contributing to the continued growth of evidence-generation capabilities across the broader organization.

Represent UCB externally through engagement with scientific experts, research partners, and industry initiatives to advance the use and impact of real-world evidence.

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

Minimum Experience/Skills Required:

Master's degree, PhD, MD, or equivalent advanced degree in Epidemiology, Public Health, Health Economics & Outcomes Research (HEOR), Biostatistics, Life Sciences, or a related discipline.

8+ years of experience within the pharmaceutical, biotechnology, healthcare, or academic sectors with demonstrated involvement in evidence generation, clinical development, market access, regulatory, and/or payer-related initiatives. Experience with Big Data and AI is an advantage

Strong understanding of real-world evidence (RWE), epidemiology, outcomes research, and healthcare data sources.

Experience developing evidence strategies that support regulatory, reimbursement, clinical, and business decision-making.

Demonstrated ability to lead complex initiatives and influence stakeholders in a matrix environment.

Preferred Qualifications

Formal training in epidemiological research methods, outcomes research, health economics, or related quantitative disciplines.

Experience developing and executing integrated RWE strategies for or with pharmaceutical assets across multiple stages of the product lifecycle.

Prior leadership experience, including mentoring, coaching, and developing individuals or leading cross-functional teams.

Expertise supporting health authority, payer, HTA, or market access interactions through evidence generation.

Experience in Immunology, Dermatology, Respiratory, or other specialty therapeutic areas.

Familiarity with innovative study designs, registries, external data sources, AI-enabled technologies, and advanced evidence-generation methodologies.

Internal applicants should be in their current job for at least 12 months, must meet performance standards and are not on formal corrective/disciplinary process (PIP), warning, final warning, or compliance warning letters within the last 12 months. Please inform your Manager or your Talent Partner before applying to any internal job opportunities.

Unless explicitly stated in the description, this role is hybrid with 40% of your time spent in the office, regardless of your current contractual agreement. If your current working arrangements differ, please contact your Talent Partner to discuss before submitting your application.

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.

Requisition ID: 93805

Recruiter: Parth Suthar

Hiring Manager: Arup Pramanik

Talent Partner: Bénédicte Demoulin

Job Level: SM II

Please consult HRAnswers for more information on job levels.

Job details

Seniority
Not listed
Function
Biostatistics & Data Science
Therapeutic area
Not listed
Location
Boston, Massachusetts, United States
Employment type
OTHER

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 137 comparable Biostatistics & Data Science roles across 22 biopharma companies.

137Comparable roles tracked
118Currently active
22Companies hiring similar roles
17Countries represented

Salary context

46 of 137 peers report a salary range (USD, annualized)

Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.

This roleSubject Not listed on this posting
Lowest disclosed · Sr. Computational Statistician (R2 – R3) · Lilly $46,842/yr – $117,289/yr
Peer group range $82,066 – $329,250 (median $173,275)

Where these roles are based

Top locations among the 137 comparable roles

United States77
United Kingdom11
India10
Japan7
Germany7
Poland5

+ 11 more countries

Seniority mix

105 of 137 peers have a known seniority level

Senior27
Principal25
Manager24
Director11
Associate Director11
Intern/Fellow/Postdoc3
Associate2
Executive/VP1
Senior Director1

Therapeutic area mix

14 of 137 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Oncology14

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.

40%similar
Lilly Director
Same function Same country

Open in 2 locations

Indianapolis, United StatesBoston, United States
40%similar
Lilly Indianapolis, Indiana, United States of America Senior
Same function Same country
40%similar
Lilly Indianapolis, Indiana, United States of America Associate
Same function Same country
40%similar
Lilly Indianapolis, Indiana, United States of America
Same function Same country
40%similar
Lilly Indianapolis, Indiana, United States of America
Same function Same country
40%similar
Lilly Indianapolis, Indiana, United States of America Principal
Same function Same country

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.

40%
Director - Statistics
Lilly · Indianapolis, Indiana, United States of America · Director
Function Therapeutic area Seniority Country
40%
Computational Statistician (R2-R4)
Lilly · Indianapolis, Indiana, United States of America · Seniority not listed
Function Therapeutic area Seniority Country
40%
Pre-Clinical Statistician
Lilly · Indianapolis, Indiana, United States of America · Seniority not listed
Function Therapeutic area Seniority Country
40%
Sr. Advisor - Statistics
Lilly · Indianapolis, Indiana, United States of America · 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.