Curricular (Unpaid) Internship in Lifesciences Sector

1 semana atrás


Setúbal Municipality, Portugal Capgemini Engineering Tempo inteiro

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Internship Objective: Design, develop, and validate AI-powered intelligent agents and automation workflows to support regulatory compliance, quality documentation, and operational efficiency in Life Sciences environments. Internship Description The intern will work on the development of agent-based solutions leveraging Generative AI and automation platforms , applied to regulated (GxP) environments. The project focuses on real-world Life Sciences use cases, balancing innovation with compliance and data security constraints. Key activities include: Design and testing of agentic workflows for validated environments Automation of regulatory and quality processes, such as: Regulatory document analysis and summarization SOP drafting, versioning, and control CAPA and deviation tracking Audit readiness and metadata validation Training compliance monitoring Change control impact assessment Integration with enterprise platforms (e.g. JIRA, SharePoint, TrackWise, LMS ) Exploration of secure deployment models (local execution, AWS) Handling constraints related to sensitive data and compliance boundaries Technologies & Tools Generative Engine Platform (Generative AI / multi-modal workflows) LLM-powered Intelligent Agents n8n – workflow automation and system integration GxP Compliance Frameworks (regulated environments) Enterprise tools integration (JIRA, SharePoint, TrackWise, LMS) Secure deployment concepts (local / cloud) Candidate Profile Student enrolled in Biochemistry, Biomedical Engineering, or similar degree Eligible for a curricular (mandatory) internship Interest in Generative AI, intelligent agents, and automation Motivation to work in regulated Life Sciences environments Strong analytical skills and attention to detail Learning Outcomes Hands-on experience at the intersection of Generative AI, automation, and Life Sciences , with exposure to GxP compliance, audit readiness, enterprise integrations, and secure AI deployment , applied to real healthcare and pharmaceutical challenges.



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