Senior Technical Specialist

• Design and deploy sophisticated agentic workflows using frameworks such as LangGraph, CrewAI, or AutoGen to automate complex clinical data management tasks
• Build collaboration systems with specialized agents (e.g., Planner, Validator, Protocol Reviewer) to resolve end-to-end data challenges through high-quality, testable code and CI/CD pipelines
• Apply systematic prompt engineering techniques (Chain-of-Thought, ReAct, Reflection) to guarantee high-fidelity outputs in clinical contexts
• Deploy AI agents into AWS cloud environment while building and enhancing scalable applications that capture, move, and prepare scientific data
• Partner with Data Integrity and Quality teams to ensure all agentic decisions are traceable, reproducible, and fully GxP-compliant
• Create reliable "Human-in-the-loop" workflows and tool-calling agents to solve complex, highly regulated data challenges

Nice to Have:

• Bachelor's or advanced degree in Computer Science, Machine Learning, Engineering, or Biomedical Informatics with 5+ years' experience
• 8+ years delivering AI/ML solutions
• 3+ years in full-stack software and data engineering
• Deep proficiency in AI orchestration frameworks like LangGraph, CrewAI, AutoGen, or LlamaIndex
• Solid experience with modern data engineering (SQL/NoSQL, APIs), Vector Databases (e.g., Chroma, Pinecone), and optimizing RAG pipelines
• Strong experience deploying AI systems on AWS, containerization (Docker, Kubernetes), CI/CD pipelines, Git, and service observability (logging, tracing, metrics)
• Strong understanding of model reproducibility, interpretability, and validation best practices within highly regulated environments
• Excellent problem-solving capabilities with the ability to explain complex technical concepts clearly to diverse global stakeholders
• Fluency in English
• Master's or PhD in Computer Science, AI, or a related quantitative field
• Experience in a highly regulated industry such as Healthcare, FinTech, or Aerospace
• Understanding and practical implementation of security frameworks in complex agentic workflows
• Understanding of clinical trial life cycles and data standards
• Familiarity with monitoring tools for system performance, workflow analytics, and MLOps/DevOps best practices
• Contributions to open-source agentic frameworks or internal AI tooling in the automation or productivity space
• Experience architecting scalable solutions in complex environments with multiple existing system integrations
• Experience with other programming languages (e.g., C#, Java, JavaScript, R, RShiny)
• Sharing your GitHub account, showcasing relevant work

• Opportunity to work in one of the world's most important pharmaceutical companies
• Modern campus with plenty of green spaces and meeting areas
• Central location in Basel
• Varied job profile
• Further training opportunities through temptraining
• Working in a dynamic and motivated team

• Location: Basel
• Contact: Elan Personal AG, 4051 Basel