Associate System Engineer (m/w/x)
Managing and advancing clinical trial supply systems, integrating AI solutions into drug development. System engineering perspective for generative and agentic AI required. Hybrid work, 4-week workation option.
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Anforderungen
- Bachelor’s degree in computer science, mathematics, or related field
- Solid experience in IT
- Master’s degree (advantageous, not required)
- Practical knowledge of IT infrastructure and application environments
- Knowledge of databases, servers, cloud platforms, networks, interfaces, and containerized applications
- Proficiency in at least 3 of the following: OpenShift/K8S/Kubernetes, Bitbucket/GitHub, Jira/Confluence, Jenkins/any other CI/CD, AWS/Azure, Python, TypeScript, ServiceNow, APIs
- Proven track record in system lifecycle and documentation requirements in GxP environments
- Hands-on experience with GenAI/LLM technologies
- Strong interest in GenAI/LLM technologies
- Integrating LLM-based services via APIs
- Agent and tool-calling patterns (e.g., MCP)
- Retrieval-augmented generation
- Operating GenAI/LLM solutions in enterprise environments
- Knowledge of clinical trial supply processes and systems (nice-to-have)
- Knowledge of pharmaceutical development/CMC (nice-to-have)
- Motivated team player
- Global mindset
- Passionate about innovative IT solutions
- Independent work
- Collaborative work
- Strong communication skills in English
- Strong presentation skills in English
Aufgaben
- Manage and advance systems supporting the clinical trial supply process
- Bring system engineering perspective to AI journey in CMC
- Ensure generative and agentic AI solutions are robust, well-integrated, and compliant
- Advance the CTS system landscape as part of a cross-functional product team
- Develop solutions that support the clinical trial supply process
- Take ownership of system operations and the full software lifecycle
- Manage documentation, patching, updates, and access controls
- Ensure lifecycle compliance for systems
- Resolve incidents and problems with infrastructure teams and external partners
- Implement system changes
- Coordinate migrations, replacements, and retirements of systems
- Drive the integration of GenAI, LLM, and agent-based solutions into the CMC system landscape
- Manage interfaces, data integrations, and infrastructure for AI solutions
- Shape architecture, operability, security, and access management for AI-enabled systems
- Define lifecycle and validation concepts for AI-enabled systems in GxP environments
- Define and continuously improve architectural and operational standards across the CMC system landscape
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Tools & Technologien
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The company is focused on delivering lasting value to patients through innovative therapies and early clinical development.
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