Nordic Director Evidence & Health Data - Nordics Marketing Company
Location Oslo, Oslo County, Norway Job ID R\-253317 Date posted 28/05/2026
*Are you ready to turn Nordic health data into decision\-grade evidence that shapes environment and improves outcomes for patients? This is a senior leadership role for someone who can see the full picture; from epidemiological and health data rigourness to internal and external impact.*
*Can you see yourself leading a multidisciplinary team that deliver real\-world evidence that changes external environment, informs clinical practice, and elevates drug understanding? Are you a leader that thrive on building teams and strategies that connect science to patient impact? If so, then this role is for you!*
Our AstraZeneca Nordic Marketing Company employs around 550 people and has offices located in Stockholm, Copenhagen, Oslo, and Espoo. AstraZeneca Nordic is a recognized leader in its core therapy areas and aims to improve the lives of millions of people. This is an area where you are free to be more – you are encouraged to challenge traditional ways and test your curiosity. We drive innovative science, deliver key launches, build close collaboration and partnerships within health care.
We welcome applications from all Nordic countries; placement will be in one of our four offices.
Your role
As Nordic Director, Evidence \& Health Data, you will own and deliver the regional evidence strategy across multiple therapeutic areas, partnering with Medical, Market Access, and Commercial leaders to ensure our therapies reach the patients who need them. You will lead a multidisciplinary organisation responsible for real\-world evidence (RWE), health data analytics and digital innovation— from strategy design through collaboration, publication and external impact.
This is not a back\-office analytics function. You will sit at the intersection of science, commercial strategy and healthcare policy, translating complex data into clear recommendations that change payer decisions, inform clinical practice, and elevate drug and disease understanding across the lifecycle. Collaborating across the Nordics and partnering with European and global teams, you will bring insight, pace, and focus to a growing pipeline where learning across therapy areas in biopharma and oncology, accelerates our collective impact.
What You Will Lead
- Strategy and portfolio execution
- Real\-World evidence and health data research excellence
- Team, Talent, and Capability
The role will establish and lead a high functioning data science team that is accountable for the development of evidence and insight generation for AZ therapies and therapeutic areas where AZ is present.
- Innovation, Analytics, and AI
- Stakeholder Influence and Partnerships
Essential for the role
We are looking for a senior leader who combines deep technical expertise with strategic vision and genuine people leadership. The right candidate will have built and led evidence functions before, knows what excellence looks like and is energised by the challenge of doing it at Nordic scale within a global organisation.
Education and expertise:
- Advanced degree in epidemiology, biostatistics, health economics, data science, natural sciences or a related field
- Significant experience in RWE, HEOR, analytics, or evidence strategy execution within the pharmaceutical industry
- Extensive hands\-on experience with RWD analysis, including deep knowledge of underlying data structures for secondary data sources (administrative claims, electronic medical records) and their application in observational research
- Strong grounding in biostatistics, pharmacoepidemiology methods and regulatory/HTA expectations with knowledge of clinical drug development and GCP (e.g., ICH guidelines)
- Proven senior leadership in cross\-functional, matrix, and regional/global settings; you know how to influence without authority and deliver through others
- Track record of building high\-performing teams
- Demonstrated experience driving organisational transformation with strong business acumen and external focus
- Vendor and budget management experience at scale
- Exceptional ability to distil complex analyses into clear, actionable recommendations—whether for a wide audience, internal and external
- Strong interpersonal, conflict\-resolution and collaboration skills across geographies and seniority levels
- Fluent English (written and spoken)
- Fluency in a Nordic language
- Experience leading data scientists and applying machine learning or AI\-integrated evidence approaches at scale
- In\-depth understanding of digital innovation and advanced analytics within evidence generation
Here you will translate science into impact at speed. We bring unexpected teams into the same room to unleash bold thinking and we back that ambition with trust and autonomy—start small, prove it works and scale fast.
You will feel the energy of a team focused on the whole patient journey, turning insight into solutions that improve experiences and outcomes, while building a diverse career with few borders between disciplines. We value kindness alongside ambition, creating a safe space to experiment, share learnings, and move quickly from idea to evidence that matters.
Lead the Nordics in transforming real\-world data into decisions that secure access and improve lives, step forward and shape what evidence can do next!
Welcome with your application, in English, no later than 7th of June.
Date Posted
29\-maj\-2026
Closing Date
07\-juni\-2026
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry\-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non\-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
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