National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Outcomes Research Manager

Boehringer Ingelheim
Bracknell
8 months ago
Applications closed

Related Jobs

View all jobs

Head Of Data Science (London)

Engineering Manager - OSS and Tools

Cloud Observability Engineer

Principal Program Manager - Measurement, Measurement, Ad Tech, and Data Science (MADS)

Research Scientists In Machine Learning(Ml)

Head of Modelling and Optimisation

Outcomes Research Manager (12 months FTC)


Basic Responsibilities

To provide robust relevant real world data and epidemiological reasoning in order to drive patient access solutions and aid evidence based decision making across the Prescription Medicine (PM) portfolio, and increase patient access. Raise awareness of disease and / or product specific outcomes related to the Boehringer portfolio. Contribute to the publication of outcomes research studies to raise awareness of disease and / or product specific outcomes. To facilitate the evidence base supporting HTA and the payer value proposition related to the Boehringer portfolio.

Accountabilities

Support the production of successful epidemiological and real-world data studies in order to generate insights about the disease, burden and related treatment landscape.

Assist in the writing of protocols, data analysis and the production of reports and manuscripts

Remains up to date on external developments w.r.t RWE methodologies accepted by Health Technology Assessment agencies and related stakeholders in relevant therapeutic areas.

Responsibilities include continuous monitoring of literature for trends in outcomes research/ epidemiology / biostatistics and stakeholder engagement to better understand acceptability of OR methods for facilitation of the payer value proposition and HTAs in the five nations.

Translate patient access strategy into robust outcomes research strategies and Boehringer studies.

Proactively communicate actionable conclusions, recommendations, and payer value messages. Validate OR approach and results with external stakeholders.

Required Education & Knowledge

• Degree or equivalent qualification in mathematics, statistics, epidemiology, data science or related discipline

• Relevant post-graduate qualification, e.g., MSc/PhD in Epidemiology or related discipline

• In-depth knowledge of OR methods / epidemiological methods / and medical statistics applied to epidemiology / RWD

• Proven knowledge in the management of real world data and methods used to organise and analyse large sets of data

• Knowledge and experience of running OR studies, from proposal writing to publication of results

• Knowledge of statistical methods applied to health economics would be advantageous

• Good understanding of CPRD (or equivalent anonymized patient-level database) and the UK health system would be advantageous

• Good understanding of SQL and R would be advantageous


Our Company

At Boehringer Ingelheim we develop breakthrough therapies that improve the lives of both humans and animals. Founded in 1885 and family-owned ever since, Boehringer Ingelheim takes a long-term perspective. Now, we are powered by 52,000 employees globally who nurture a diverse, collaborative and inclusive culture. We believe that if we have talented and ambitious people who are passionate about innovation, there is no limit to what we can achieve.


Why Boehringer Ingelheim?

With us, you can grow, collaborate, innovate and improve lives.

We offer challenging work in a respectful and friendly global working environment surrounded by a world of innovation driven mindsets and practices. In addition, learning and development for all employees is key, because your growth is our growth.


Boehringer Ingelheim is an equal opportunity global employer who takes pride in maintaining a diverse and inclusive culture. We embrace diversity of perspectives and strive for an inclusive environment, which benefits our employees, patients and communities.

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

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.