Associate Director, AI Applications

AstraZeneca
AstraZeneca logo
Location
Spain - Barcelona
Job Type
Full-time
Posted
October 30, 2026

Job Description

Senior Engineer Agentic AI, Oncology Data Science & AI

Locations: Barcelona, Spain

This is an in-office role based in Barcelona, ES, with a requirement to work a minimum of three days per week on-site. Remote or travel flexibility is not available.

AstraZeneca is a global, science-driven biopharmaceutical company. We are dedicated to discovering, developing, and delivering innovative, meaningful medicines and healthcare solutions that enrich the lives of patients. In AstraZeneca Oncology, our goal is to be at the forefront of developing the next generation of cancer therapies.

Main Duties and Responsibilities

There is an exciting opportunity for a talented and motivated Engineer to join the group as a Senior Engineer for Agentic AI. In this role, you will:

  • Build Agentic AI driven solutions that tackle scientific research problems.
  • Develop, test, and support Agentic tools for Genomics, Computational Pathology, Clinical Trials, etc.
  • Automate complex data analysis processes.
  • Introduce leading AI technologies applied to cancer research.

Essential Requirements

  • Relevant graduate degree: Computer Science, Engineering, Physical Sciences, or related quantitative field.
  • Extensive applied experience in data science, machine learning, AI engineering, or relevant field.
  • Hands-on experience building Agentic AI systems.
  • Programming skills: Solid Python/R programming skills
  • Strong experience in Unix/Linux and SQL databases; experience in Cloud computing (AWS, Azure).
  • Strong experience in data science best practices and production ML deployment (model development, rigorous evaluation, and deployment to production pipelines, e.g. Databricks).
  • Strong domain knowledge in clinical oncology: experience collaborating with clinical and scientific SMEs, and familiarity with clinical trial design and clinical vocabularies.

Desirable

  • AI frameworks, such as Pydantic-AI, LangChain, etc.
  • Experience in RAG, vector databases.
  • An understanding of LLMs / Foundation models technologies.
  • Experience in at least one compiled programming language (e.g. any of C, Java, Go, Rust, etc.).

Next Steps – Apply today!

Please complete the full application on our website at your earliest convenience. If you know someone who would be a great fit, please share this posting with them.

#EAI

Date Posted

28-Oct-2026

Closing Date

10-Nov-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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See 41 open roles · Verified H-1B salary data · Clinical-trial hiring momentum · Culture, benefits & locations.

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Frequently Asked Questions

Where is this job located, and what is the work-mode policy?
The position is based in Barcelona, Spain. It is an in-office role requiring a minimum of three days per week on-site. Remote or travel flexibility is not available.
What are the key responsibilities for this role?
You will build Agentic AI-driven solutions for scientific research, develop and support tools for Genomics, Computational Pathology, and Clinical Trials, automate complex data analysis processes, and introduce leading AI technologies to cancer research.
What are the required qualifications and experience level?
Candidates need a relevant quantitative graduate degree, extensive applied experience in data science/ML/AI engineering, hands-on experience building Agentic AI systems, solid Python/R, Unix/Linux, SQL, AWS/Azure, production ML deployment skills (e.g., Databricks), and strong domain knowledge in clinical oncology.
How can I apply, and what is the application deadline?
You can apply by completing the full application directly on the AstraZeneca website at your earliest convenience. The closing date for applications is 10-Nov-2026.

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Explore AstraZeneca

Research the company before you apply.

  • 41 open roles
  • Verified H-1B salary data
  • Clinical-trial hiring momentum
  • Culture, benefits & locations
View company profile

Job Information

Source: manual
AI Relevance: 85/100 (Highly relevant)
Remote Type: onsite
Skills & Tags:
astrazeneca machine learning genomics data science oncology clinical LLM

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