Associate Director, AI Applications

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.

Summary

Build Agentic AI solutions tackling cancer research problems including genomics, computational pathology and clinical trials, and automate complex data analysis processes. Requires graduate degree in Computer Science or related quantitative field with extensive applied experience in data science, machine learning and production ML deployment using Python, SQL and cloud.

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

Qualifications

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; Experience in RAG, vector databases; Understanding of LLMs / Foundation models; Experience in C, Java, Go, Rust

Education requirements

Relevant graduate degree: Computer Science, Engineering, Physical Sciences, or related quantitative field

Experience requirements

Extensive applied experience in data science, machine learning, AI engineering, or relevant field; hands-on experience building Agentic AI systems; strong domain knowledge in clinical oncology, clinical trial design and clinical vocabularies

How to apply

Complete the full application on website