Accelerated Real World Evidence Lead

Boehringer Ingelheim; Bracknell; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Boehringer Ingelheim is seeking an Accelerated Real World Evidence Lead to drive rapid, decision-ready real-world evidence across the UK and Ireland, partnering with Medical Affairs, Market Access, Brand Teams and external data partners.

The role involves developing reusable study design templates, coordinating with external data providers and building secure cohorts, with a hybrid office presence and strong emphasis on governance, privacy and compliance.

Qualifications

• 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

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.

Skills

Epidemiology

Real World Evidence

Stakeholder management

Data governance

Coding systems

R, SAS, STATA

AI/ML awareness

Education

Degree in epidemiology, statistics, mathematics, biostatistics, computer science, life sciences or related

Tools

TriNetX

DEXTER

Aetion

Panalgo

R

SAS

STATA

Job description

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

Our Company

Why Boehringer Ingelheim?

With us, you can develop your own path in a company with a culture that knows our differences are our strengths - and break new ground in the drive to make millions of lives better.

Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent, authentic and bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed.

Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after - as we make major investments to drive global accessibility to healthcare. By being part of a team that is constantly innovating, you'll be helping to transform lives for generations.

Want to learn more? Visit https://www.boehringer-ingelheim.com