Associate Director, AI Applications
Astrazeneca
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453 open applications roles across 111 companies are on ApplySarthi right now, most of them in Bengaluru (32), Hyderabad (13), Delhi NCR (7).
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What applications roles keep asking for: Python (26%), Java (16%), Agile (13%), Stakeholder management (13%), C++ (12%) — counted across their open postings here.
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Counted across 14 company job boards, updated as roles open and close.
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- Why do you want to join Astrazeneca?
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Practise the Associate Director, AI Applications at Astrazeneca interview free →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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Listed on workday · posted 2026-10-29. ApplySarthi collects openings and links to application pages; the role is advertised by Astrazeneca, not by us.