Associate Director, AI Applications

AstraZeneca; Barcelona; On-site; EUR 110,000 - 150,000; Full time

Job summary

AstraZeneca plc in Barcelona, Spain seeks a Senior Engineer specializing in Agentic AI for Oncology Data Science & AI. The role is in-office with a minimum of three days per week on-site; remote work and travel are not available.

You will build Agentic AI driven solutions for genomics, computational pathology, and clinical trials, and help advance cancer research through cutting-edge AI technologies. You should have a graduate degree in CS/Engineering/physical sciences, strong Python/R,

Qualifications

• Graduate degree in CS/Engineering/Physical Sciences or related field.
• Extensive applied experience in data science, ML, AI engineering.
• Hands-on experience building Agentic AI systems.
• Solid Python/R programming skills.
• Unix/Linux and SQL databases; cloud computing (AWS, Azure).
• Experience with production ML deployment and Databricks.
• Domain knowledge in clinical oncology and trials.

Responsibilities

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

Skills

Data science

Machine learning

AI engineering

Python

R

Unix/Linux

SQL databases

Cloud computing (AWS, Azure)

Databricks

Clinical oncology knowledge

Education

Graduate degree in Computer Science / Engineering / Physical Sciences

Tools

Pydantic-AI

LangChain

RAG

Vector databases

LLMs / Foundation models

C, Java, Go, Rust

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

• 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.).

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.