Curricular (Unpaid) Internship In Lifesciences Sector
Lisboa
Lisboa, Lisboa, Portugal

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
- 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 (Gx
P) environments. The project focuses on
- 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, Share
    Point, Track
    Wise, 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 /
    - modal workflows)
  • LLM-powered Intelligent Agents
  • n8n – workflow automation and system integration
  • Gx
    P Compliance Frameworks
    (regulated environments)
  • Enterprise tools integration (JIRA, Share
    Point, Track
    Wise, 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 Gx
P compliance, audit readiness, enterprise integrations, and secure AI deployment
, applied to real healthcare and pharmaceutical challenges.

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