Senior Technical Specialist (m/f/d)

Work Selection AG; Basel; Vor Ort; CHF 140.000 - 210.000; Vollzeit

Benefits dieser Stelle

Prestigious pharmaceutical project

Diversity and inclusion culture

Modern campus facilities in Basel

State‑of‑the‑art tools and workflows

On-site parking

Zusammenfassung

Work Selection AG is seeking a Senior Technical Specialist for a 12‑month assignment with Roche in Basel. You will design agentic workflows, deploy AI agents in AWS, and ensure regulatory compliance across data tasks.

Requires 8+ years in AI/ML solutions plus 3+ years in full‑stack software and data engineering, with strong Python and English fluency. Basel location on site, with potential extension.

Qualifikationen

• Bachelor's or advanced degree in CS/ML/Engineering/Bioinformatics.
• 5+ years delivering AI/ML solutions; 8+ years total in AI/ML plus 3+ years in full‑stack software and data engineering.
• Deep proficiency in Python and hands‑on with LangGraph, CrewAI, AutoGen or LlamaIndex.
• Fluent in English; strong communication for global stakeholders.

Aufgaben

• Design and deploy agentic workflows to automate clinical data tasks.
• Build collaboration systems with specialised agents and CI/CD pipelines.
• Apply prompt engineering (Chain‑of‑Thought, ReAct, Reflection) for high fidelity outputs.
• Deploy AI agents in AWS and build scalable data pipelines.
• Ensure traceability and regulatory compliance with Data Integrity teams.
• Create HITL workflows and tool‑calling agents for complex data challenges.

Kenntnisse

Python

AI orchestration

Full‑stack software

Data engineering

English fluency

AWS

CI/CD

Docker

Kubernetes

Git

Ausbildung

Bachelor's or advanced degree in CS/ML/Engineering/Bioinformatics

Tools

LangGraph

CrewAI

AutoGen

LlamaIndex

AWS

Docker

Kubernetes

Git

CI/CD tooling

Jobbeschreibung

As a first-tier supplier to our renowned business partner F. Hoffmann-La Roche Ltd. in Basel, we are currently looking for a motivated and dedicated Senior Technical Specialist for a temporary assignment of 12 months, with high probability of extension.

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
• 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

Benefits

• Become part of one of the most prestigious pharmaceutical companies and actively shape the future of healthcare
• Experience a work culture that promotes diversity and inclusion and where all employees feel valued.
• Work on a state‑of-the‑art campus featuring green spaces, meeting areas, and an inspiring atmosphere
• Work with modern and up‑to‑date tools in an innovative work environment
• Start with a professional onboarding process and a thorough introduction to your new role during the Welcome Days
• Benefit from financial support for your professional development plans
• Enjoy a selection of high‑quality meals in modern staff restaurants
• As part of a sustainable mobility concept, on‑site parking spaces are available to you (subject to eligibility criteria)
• Take advantage of unbeatable, year‑round discounts at renowned retailers and over 200 top brands
• Benefit from fleet discounts when purchasing new cars or receive constant fuel discounts with our fuel card