Switzerland bridges the gap between pharmaceuticals and diagnostics. Important research and development functions are located here. For our long-term client, F. -La AG in Basel, we are looking for a

Senior Technical Specialist

Background:

At , the team advances science so that everyone has more time with the people they love. Positioned within the Data Management team, a core function of Product Development Data Sciences (PDD), the Senior Technical Specialist will help lead the industry in speed, quality, and efficiency. By joining , the individual will become part of an innovative environment where cutting-edge tools, automation, and next-generation technologies are developed to streamline clinical trial data collection and delivery, accelerating the release of life-saving medicines to patients worldwide.

As a Senior Technical Specialist with a focus on Agentic AI, the individual will design and deploy autonomous AI agents and multi-agent systems to transform how clinical trial data is processed. The role will bridge the gap between state-of-the-art LLM orchestration and strict pharmaceutical regulatory standards, building systems that automate clinical data cleaning, validation, and analysis. This position offers the opportunity to shape a modern, scalable ecosystem where engineering solutions directly drive GxP-compliant, high-impact clinical decisions.

Tasks & Responsibilities:

• Design and deploy sophisticated agentic workflows using frameworks such as LangGraph, CrewAI, or AutoGen to automate complex clinical data management tasks.
• Build collaboration systems where specialised agents (e.g., Planner, Validator, and Protocol Reviewer) resolve end-to-end data challenges through high-quality, testable code and CI/CD pipelines.
• Apply systematic prompt engineering techniques (including Chain-of-Thought, ReAct, and Reflection) to guarantee high-fidelity outputs in a clinical context.
• Deploy AI agents into our cloud environment (AWS) 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 compliant with regulatory standards.
• Create reliable "Human-in-the-loop" (HITL) workflows and tool-calling agents to solve complex, highly regulated data challenges.

Must Haves:

• 5+ years’ experience and a Bachelor’s or advanced degree in Computer Science, Machine Learning, Engineering, or Biomedical Informatics, alongside 8+ years of experience delivering AI/ML solutions plus 3+ years in full-stack software and data engineering 
• Deep proficiency in and hands-on experience with 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) 
• A 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

Nice to Have:

• 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 / Showcasing practical, end-to-end 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 to architect scalable solutions in complex environments with multiple existing system integrations
• Experience with other programming languages (e.g., C#, Java, JavaScript, R, RShiny) is considered an advantage
• Sharing your GitHub account, showcasing relevant work, is considered an advantage

What you will be offered:

• An 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

If you are interested please send your application documents addressed to Ms .

Basel-Stadt Computer Science AI Engineering Informatics ML solutions software data engineering AWS Docker Kubernetes