SciTransfer
Organization

ASTRAZENECA AB

Global pharma company contributing drug safety data, clinical biomarkers, and AI-driven discovery to 58 H2020 health research consortia from Sweden.

Large industrial companyhealthSE
H2020 projects
58
As coordinator
0
Total EC funding
€8.8M
Unique partners
686
What they do

Their core work

AstraZeneca is a global biopharmaceutical company headquartered in Sweden, contributing deep drug discovery and development expertise to European research consortia. Within H2020, they focus on translational safety, clinical biomarker validation, health data interoperability (FAIR/OMOP), and disease-area research spanning oncology, neuroscience, respiratory disease, and liver conditions. They bring industrial-scale pharmaceutical R&D capabilities — including compound libraries, preclinical models, and patient data assets — into public-private partnerships, particularly through IMI2 (Innovative Medicines Initiative) projects. Their participation bridges the gap between academic research and real-world drug development pipelines.

Core expertise

What they specialise in

Health data standards and FAIR interoperabilityprimary
4 projects

Active in EHDEN (OMOP/OHDSI federated networks), FAIRplus (FAIRification), PIONEER (big data in prostate cancer), and PREFER (patient preference data).

4 projects

Participated in SyDAD (synaptic dysfunction in Alzheimer's), PHAGO (TREM2/neuroinflammation), MOPEAD (Alzheimer's patient engagement), and NeuroDeRisk.

Respiratory disease (RSV)secondary
1 project

Key participant in RESCEU, a large RSV epidemiology and surveillance consortium generating prospective burden-of-disease data across Europe.

AI and computational chemistry for drug discoverysecondary
5 projects

Contributed to ExCAPE (exascale compound activity prediction), BIGCHEM (big data in chemistry), AEGIS (early-stage drug discovery), and trained fellows via MSCA-ITN networks.

Imaging and deep learning in clinical researchemerging
3 projects

Recent-period keywords show a shift toward imaging (3 projects), deep learning (2), and biomarker-driven approaches, visible in V.A. Cure and later-phase projects.

Evolution & trajectory

How they've shifted over time

Early focus
Drug safety and regulatory science
Recent focus
AI, imaging, and health data

In the early period (2015–2018), AstraZeneca's H2020 work centered on translational safety, regulatory science, adaptive clinical trial design, and Alzheimer's neuroinflammation research (TREM2, LOAD). By the later period (2019–2023), the focus shifted markedly toward imaging, deep learning, clinical biomarkers, and health data interoperability — reflecting the broader pharma industry pivot toward AI-driven drug development and real-world evidence. Their MSCA training networks also evolved from pure chemistry (isotopic labeling, catalysis) toward computational and data science applications.

AstraZeneca is investing heavily in data-driven drug development — partners offering AI/ML capabilities, imaging biomarkers, or FAIR data infrastructure are likely well-positioned for future collaboration.

Collaboration profile

How they like to work

Role: specialist_contributorReach: Global34 countries collaborated

AstraZeneca never coordinates H2020 projects — they participate as a large industrial partner in consortia, typically contributing proprietary data, compound libraries, and clinical development expertise. With 686 unique partners across 34 countries, they operate as a high-connectivity hub, joining large public-private consortia (especially IMI2 projects with 20+ partners). This means working with them requires fitting into established consortium frameworks rather than bilateral arrangements.

Exceptionally broad network of 686 unique consortium partners spanning 34 countries, making them one of the most connected pharmaceutical participants in H2020. Their partnerships are heavily weighted toward Western European academic medical centers and other large pharma companies through IMI2 consortia.

Why partner with them

What sets them apart

AstraZeneca brings something few academic partners can: real pharmaceutical pipeline data, compound screening infrastructure, and clinical trial operations at industrial scale. Their consistent participation across IMI2 projects means they have deep experience navigating EU public-private partnership structures. For consortium builders, they offer credibility with reviewers and access to proprietary datasets that would otherwise be impossible to include in publicly funded research.

Notable projects

Highlights from their portfolio

  • EHDEN
    Major EU health data harmonization initiative using OMOP/OHDSI standards — positions AstraZeneca at the center of Europe's federated real-world evidence infrastructure.
  • eTRANSAFE
    Flagship IMI2 project integrating preclinical safety data across pharma companies — rare example of competitors sharing toxicology data for collective benefit.
  • Highlift
    Their only non-health project (industrial heat pumps) with the highest single EC contribution at EUR 930K — a surprising diversification into clean energy technology.
Cross-sector capabilities
Artificial intelligence and machine learning for life sciencesHigh-performance computing and big data analyticsIndustrial energy efficiency (Stirling heat pump technology)Chemical catalysis and sustainable chemistry
Analysis note: Strong data coverage with 58 projects and rich keyword sets. Many IMI2 projects show no direct EC funding to AstraZeneca (industry co-funds in IMI), so the EUR 8.8M figure understates their actual project involvement. Only 22 of 58 projects show EC funding, consistent with IMI2 in-kind contribution rules.