Senior System Specialist

* IT - Data Science / Digital

* Life Sciences - Data Science

* Basel-Stadt

* Contracting

* Vollzeit

**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 Python 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

**Nice to Haves:**

* 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