Senior Scientist, Clinical Agentic AI
AstraZeneca1 day ago
Barcelona, SpainSenior
Responsibilities
- Design and deliver LLM-driven agentic workflows for clinical-trial planning, conduct, monitoring, review, and reporting.
- Write production-quality Python and SQL and build services, data pipelines, retrieval systems, tool integrations, structured-output components, and automated tests.
- Integrate clinical data with provenance, access controls, and data contracts, and implement verification, citations, uncertainty handling, and human-in-the-loop review.
- Build reproducible experiments and evaluation datasets, define metrics, perform error analysis, compare models and retrieval or orchestration approaches, and document release evidence.
- Co-create solutions with clinical and operations stakeholders, incorporate user feedback, and contribute to technical design reviews, code reviews, documentation, risk assessments, and reusable components.
- Track advances in agentic AI, clinical NLP, multimodal models, evaluation, and responsible AI, and communicate findings to specialist and non-specialist audiences.
Requirements
- PhD in Computer Science, Machine Learning, Biomedical Informatics, Computational Biology, Statistics, or a related quantitative field, or a master’s degree with equivalent applied research and engineering experience.
- Strong hands-on Python programming and working knowledge of SQL, software testing, version control, APIs, and reproducible development practices.
- One to three years of post-PhD or master’s-level equivalent experience building applied ML, NLP, generative-AI, or agentic systems beyond notebooks or demonstrations.
- Knowledge of language-model techniques, retrieval-augmented generation, embeddings, tool use, structured generation, and evaluation.
- Ability to design controlled experiments, select meaningful metrics, perform error analysis, communicate uncertainty, and work with complex or imperfect data.
- Curiosity about clinical development and ability to learn domain workflows through literature, data, and collaboration with subject-matter experts.
- Experience with clinical NLP, biomedical language models, multimodal clinical data, clinical-trial systems or workflows, agent frameworks, cloud infrastructure, model serving, observability, MLOps/LLMOps, knowledge graphs, ontologies, or document intelligence is desirable.
- Familiarity with GCP and GxP, regulated clinical reproducibility and evidence standards, and collaboration with clinicians or domain experts is desirable.
- Peer-reviewed publications, open-source contributions, patents, or evidence of deploying AI systems used by real customers are desirable.
Benefits
- In-office role in Barcelona, Spain, requiring a minimum of three days per week on-site; remote or travel flexibility is not available.
- Opportunity to work with clinicians, product leaders, engineers, and data experts on AI capabilities used across clinical studies and therapy areas.
- Resources to learn new science, explore technologies, and contribute to measurable patient impact.
- Inclusive workplace committed to diversity and equality of opportunity.
Tech Stack
Categories
About AstraZeneca
AstraZeneca is a global biopharmaceutical company that discovers, develops, manufactures, and commercializes prescription medicines for patients and healthcare systems. Its portfolio spans oncology, cardiovascular, renal and metabolism, respiratory and immunology, and rare diseases (expanded by the 2021 acquisition of Alexion). Founded in 1999 and headquartered in Cambridge, UK, it is a public company listed on the London Stock Exchange and Nasdaq, generating revenue primarily from drug sales and partnerships.