Senior Technical Specialist

Flexsis; Basel; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Roche in Basel is seeking a Senior Technical Specialist to design and deploy agentic workflows for clinical data management. You will build collaboration systems with specialised agents, ensure traceable AI decisions, and drive high-quality, testable code with CI/CD pipelines in a cloud environment.

The role requires deep Python expertise, hands-on AI orchestration experience, and a strong background in data engineering and full-stack development.

Qualifikationen

• 5+ years’ experience and a Bachelor’s or advanced degree in Computer Science, Machine Learning, Engineering, or Biomedical Informatics.
• 8+ years delivering AI/ML solutions with 3+ years in full-stack software and data engineering.
• Fluent in English and able to communicate with global stakeholders.

Aufgaben

• Design and deploy sophisticated agentic workflows using LangGraph, CrewAI, or AutoGen to automate complex clinical data management tasks.
• Build collaboration systems where specialised agents resolve end-to-end data challenges through tests and CI/CD pipelines.
• Apply prompt engineering techniques (Chain-of-Thought, ReAct, and Reflection) for high-fidelity outputs in clinical contexts.
• Deploy AI agents into AWS while building scalable applications that capture, move, and prepare scientific data.
• Partner with Data Integrity and Quality teams to ensure traceable, reproducible, and regulatory-compliant agentic decisions.
• Create reliable 'Human-in-the-loop' workflows and tool-calling agents to solve highly regulated data challenges.

Kenntnisse

Python

Data engineering

Full-stack software engineering

AI/ML solutions

English fluency

Ausbildung

Bachelor’s or advanced degree in Computer Science, ML, Engineering or Biomedical Informatics

Tools

LangGraph

CrewAI

AutoGen

LlamaIndex

AWS

Docker

Kubernetes

Git

Chroma

Pinecone

Jobbeschreibung

Flexsis is a company of the Interiman Group, one of the leading providers of personnel services in Switzerland. Thanks to our solid expertise as well as the competencies within the Interiman Group, we offer tailored solutions in personnel consulting.

For our client Roche in Basel, we are looking for a reliable and motivated (m/f/d)

Senior Technical Specialist

• Start Date: Asap
• Latest Possible Start Date: 04.01.2027
• Planned Duration of Employment: 12 months
• Extension: Rather Unlikely
• Workplace: Basel

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
• Fluency in English

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