Director, Medical & Payer Evidence Statistics

BioPharmaceuticals Medical - Evidence, Real World Science & Analytics

Do you want to use statistics to shape important evidence decisions, not only analyse data? Are you motivated by working with colleagues from different disciplines, bringing clarity to complex questions and finding robust, practical ways forward together? This is an opportunity to contribute your expertise and judgement in a role with broad scientific influence and visible impact for patients and healthcare systems .

About AstraZeneca

At AstraZeneca, we transform ideas into life-changing medicines to address unmet patient needs worldwide. As a global, science-led biopharmaceutical company, we bring scientific curiosity, collaboration and innovative thinking together to discover, develop and deliver medicines that can make a meaningful difference to patients.

About BioPharmaceuticals Medical and Evidence

BioPharmaceuticals Medical supports better patient outcomes by generating and communicating evidence that helps healthcare decision-makers understand the benefits, risks and value of our medicines. Within Medical, the Evidence organisation brings together complementary expertise to plan and deliver evidence across the medicine lifecycle and across our therapeutic areas in Cardiovascular, Renal and Metabolism; Respiratory and Immunology; and Vaccines and Immune Therapies.

Real World Science & Analytics is part of the Evidence organisation. We are a global, multidisciplinary community of statisticians, data scientists, programmers, methodologists and real-world data experts. Our shared purpose is to transform patient care through advanced methods and real-world data, applying rigorous approaches to produce evidence that is relevant, credible and useful. We work across organisational and geographical boundaries, combining deep technical expertise with close partnership across Medical, Epidemiology, Market Access, Health Economics and Outcomes Research, and other functions.

About the BPM Evidence Statistics team

The BPM Evidence Statistics team is a small global team of experienced statisticians who support evidence generation across therapeutic areas. We act as trusted statistical partners from the earliest framing of a research question through study design, analysis planning, interpretation and communication. Our work spans observational and clinical research, with a strong focus on ensuring that methods are scientifically sound, proportionate to the question and clearly understood by decision-makers.

We value thoughtful challenge, curiosity and different perspectives. Team members are encouraged to contribute their own ideas, ask questions and influence how we work. We share knowledge openly, support one another and create opportunities to grow through varied assignments, methodological development, mentoring and collaboration with colleagues across the organisation. You will have autonomy in your work, while being part of a supportive team that discusses difficult problems together and recognises that strong decisions rarely come from one discipline or one point of view.

The opportunity

We are looking for a Director, Medical & Payer Evidence Statistics, to provide strategic statistical leadership across our BioPharmaceuticals Medical evidence-generation portfolio. This is an opportunity to use your statistical expertise, experience and judgement on questions that matter across pharmaceutical research and medical evidence generation.

Working with a high degree of independence, you will influence evidence strategies, shape study designs and help teams select and apply statistical approaches that are rigorous, fit for purpose and aligned with scientific, medical and payer needs. Collaboration is central to the role. You will build trusted relationships across disciplines, explain complex issues clearly and help teams reach well-reasoned decisions.

The role has a global remit and is based at our Gothenburg site in Swed en. Our team values collaboration, open discussion and learning from one another. To support this, we work together in the office on average three days per week, while maintaining flexibility to balance individual and business needs.

What you will do

- Shape evidence strategies and study designs: Provide strategic statistical leadership for medical and payer evidence-generation activities, helping teams align research questions, design choices and analytical approaches with the decisions the evidence needs to support.
- Provide guidance across the research lifecycle: Contribute from study concept and protocol development through statistical analysis planning, interpretation, reporting, publication and scientific communication.
- Bring statistical expertise to real-world and clinical research: Apply and adapt appropriate methods for observational and clinical studies, including research using healthcare claims, electronic health records and patient registries.
- Turn complexity into clear recommendations: Help multidisciplinary teams understand statistical choices, assumptions and limitations, and provide pragmatic recommendations that preserve scientific credibility.
- Influence through partnership: Work closely with colleagues in Epidemiology, Medical Affairs, Market Access, Health Economics and Outcomes Research, Data Science and other functions, contributing expertise while learning from other disciplines.
- Provide statistical oversight: Guide analytical work delivered by internal teams and external research partners, with hands-on contribution where it adds value.
- Advance methods and ways of working: Identify relevant methodological developments, support their thoughtful application and contribute to improvements in tools, processes and statistical practice.
- Develop people and community: Share expertise, coach and mentor colleagues and contractors, and potentially take on line-management responsibilities.

Essential experience and capabilities

- A graduate degree (MSc or PhD) in Statistics, Biostatistics or another relevant quantitative discipline.
- Substantial experience as a statistician in the pharmaceutical industry, consultancy, academia or a closely related healthcare research environment, including the design, analysis and reporting of clinical or observational studies.
- Experience in real-world evidence or observational research and in applying statistical methods to real-world data.
- Experience providing strategic statistical input and influencing study design or evidence-generation decisions.
- The ability to combine scientific and statistical rigour with practical judgement when navigating complex or uncertain questions.
- Strong collaboration and communication skills, including the ability to explain statistical concepts, trade-offs and limitations to different audiences.
- The confidence to work independently, alongside a collaborative approach and willingness to seek and integrate perspectives from others.

Desirable experience

- Broad experience in real-world evidence and observational research in industry, consultancy or academia.
- Knowledge of observational research methods and experience using data sources such as healthcare claims, electronic health records or patient registries.
- Knowledge of causal inference methods, such as target trial emulation, propensity score methods or related approaches.
- Experience using relevant analytical tools and programming languages, such as R, SAS or Python.
- Experience overseeing externally delivered statistical work, or coaching, mentoring or managing statisticians.
- Experience contributing to methodological development, capability building, governance or scientific publication.

Why join us?

This role offers the opportunity to use statistics not only to analyse data, but to shape evidence strategies and influence decisions with real scientific and patient impact. You will work at the intersection of science, medicine, access and business, with the scope to make your expertise visible across a broad portfolio.

You will join an environment where different perspectives are valued, ideas can be discussed openly and expertise is shared. We want you to bring your own experience and judgement, while continuing to learn from colleagues across disciplines. You will have meaningful responsibility, supportive peers and opportunities to develop your influence, technical breadth and leadership.

We recognise that strong candidates do not always match every item in a job description. If this opportunity interests you and you believe your skills and experience could add value, we encourage you to apply even if you do not meet every desirable criterion.

What is next?

We welcome your application, including your CV and cover letter, no later than 25 October 2026 . Please combine your cover letter and CV into a single document before uploading.

Date Posted
12-Oct-2026

Closing Date
11-Oct-2026

Our 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.