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

Nominate & Attend

Real World Evidence (RWE) Manager

Alexion Pharmaceuticals
London
9 months ago
Applications closed

Related Jobs

View all jobs

RWE Data Analyst - PRO/COA Psychometrics

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

This is what you will do:

Lead the operational delivery of market-shaping, access-enabling and practice-changing real world evidence (RWE) studies aligned to strategic plans within rare diseases, collaborating with internal and external stakeholders to ensure success. Deliver evidence through implementation of innovative data solutions, including leading on data partnerships with the NHS developing novel analytical tools and platforms and supporting market access activities aligned to business and disease plans.

You will be responsible for:

RWE strategic leadership

Supports and guides disease strategy in identifying and prioritising the most appropriate RWE solutions to meet strategic business needs, including opportunities to support policy, market-shaping and launch excellence, as well as to impact clinical practice and drive value based health care initiatives. Ability to collaborate and communicate effectively with a variety of stakeholders, bringing RWE medical leadership and technical expertise into business discussions

RWE Study delivery

Delivers RWE studies using appropriate methodologies and data sources to generate required evidence for the portfolio including the creation of high quality study documents (ie study design concepts, protocols) and working with local and global colleagues to ensure smooth progression of studies through internal and external governance processes Analyses real world data (RWD) sources (including electronic health records, rare disease registries) to identify RWE opportunities within the rare disease portfolio, working in collaboration with cross functional stakeholders, including the AstraZeneca RWE teams. Project manages 3rd party agencies and vendors to deliver RWE projects as required Successfully deliver the RWE plan using a balance of technical expertise, therapeutic knowledge, project management and communication skills, leveraging and prioritising internal and external resources as required Responsible for ensuring GxP requirements and other regulation and compliance considerations related to evidence generation activities are met

You will need to have:

Degree in epidemiology or life sciences (or appropriate equivalent) Strategic and operational planning specifically focussed on identifying evidence needs and prioritised solutions Strong ability to understand, interpret and communicate statistical analyses Experience of delivering research using UK electronic health record databases, disease registries and other RWE methodologies (ie medical chart review) Knowledge of the UK health data landscape and how this is evolving Track record of managing development, analysis and publication of RWE studies Project management experience Evidence of collaborative team working and personal accountability

We would prefer for you to have:

Post graduate qualification in relevant subject (biostatistics, public health, epidemiology etc) Pharmaceutical industry experience Experience in rare diseases Technical skills: Protocol writing, statistics, analytical skills Knowledge of the UK rare disease data landscape, including disease registries Knowledge and experience of data interoperability, Natural Language Processing, Machine Learning/ AI in health data analyses.

Date Posted

30-Sept.-2024

Closing Date

29-Nov.-2024Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.

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.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

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

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.