Accelerated Real World Evidence Lead (Bracknell Forest, United Kingdom, Bracknell Forest)
About this opportunity
THE POSITION
We are looking for an Accelerated Real World Evidence Lead to support the rapid generation of real-world evidence across the UK and Ireland. Working closely with Medical Affairs, Market Access, Brand Teams and external partners, you will develop innovative, scalable and efficient approaches to answering business, clinical and scientific questions using real-world data.
Location: Bracknell, UK, with a hybrid working model requiring a minimum of 2 days per week in the office.
TASKS AND RESPONSIBILITIES
Deliver rapid, decision-ready real-world evidence studies to support business priorities across a range of therapy areas.
Develop and maintain a suite of reusable study design templates, methodologies and reporting approaches.
Help match evidence needs with different methodologies and design templates.
Manage relationships with external data providers and support access to relevant healthcare datasets.
Develop and govern standing patient cohorts within secure data environments.
Drive innovation through automation and AI/ML - e.g., accelerating cohort identification, code list development, or evidence synthesis
Ensure all activities meet scientific, governance, privacy and compliance standards.
REQUIREMENTS
Degree in epidemiology, statistics, mathematics, biostatistics, computer science, life sciences or a related discipline.
Strong experience in Real World Evidence, epidemiology and healthcare evidence generation, gained across a range of studies and stakeholders.
Experience with GUI-based RWD platforms or cohort builders, such as TriNetX, DEXTER, Aetion or Panalgo and/or statistical software such as R, SAS or STATA.
Working knowledge of clinical coding systems (e.g., SNOMED CT, ICD-10; OPCS-4 and dm+d desirable).
Strong understanding of study design, data governance and data privacy requirements.
Excellent stakeholder management and communication skills.
Pharmaceutical industry experience is desirable; candidates from academia, CRO, NHS or consultancy backgrounds will also be considered.
WHY THIS IS A GREAT PLACE TO WORK
Boehringer Ingelheim has been recognised as a Top Employer in the UK, demonstrating our commitment to building an exceptional workplace through strong people practices and supportive HR policies.
To learn more about why BI is a great place to work, visit: https://www.boehringer-ingelheim.co.uk/careers/uk-careers/why-great-place-work
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Job details
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.
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.
Where these roles are based
Top locations among the 137 comparable roles
+ 11 more countries
Seniority mix
105 of 137 peers have a known seniority level
Therapeutic area mix
14 of 137 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
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.
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.
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.