Apprentice: Lab Automation, Robotics & Physical AI

GSK

Rixensart

Sur place

EUR 11 160 - 16 740

Plein temps

14 jours+

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Résumé du poste

GSK invites you to join its Apprentice Program in Belgium. You will contribute to AI-to-lab integration and data generation for Physical AI models, working hands-on with laboratory automation and robotics platforms.

The role focuses on execution, testing and data-generation to advance our Physical AI use cases. Ideal candidates are enrolled in a mandatory work-linked Master’s in Analytical Engineering, fluent in French and English (B2 in English), and passionate about automation, AI, and

Qualifications

  • Currently enrolled in a mandatory work‑linked Master’s program in Analytical Engineering in Belgium.
  • Enrollment must be part of the curriculum and requires an agreement between GSK, the student and the educational establishment.

Responsabilités

  • Execute and troubleshoot automated laboratory workflows on robotic platforms.
  • Verify data consistency, traceability and reliability of data generated through AI-driven laboratory operations.
  • Analyze experimental results and support the design and optimization of automated laboratory protocols to improve robustness, efficiency and reproducibility.

Connaissances

Analytical skills
Problem-solving
Rigorous & methodical
Open to feedback
Laboratory robotics interest
AI in lab
Scripting basics
Data analysis basics

Formation

Master’s in Analytical Engineering (work-linked)

Outils

Python
Excel
Jupyter notebooks

Description du poste

GSK invites you to join its Apprentice Program in Belgium. You will contribute to AI-to-lab integration and data generation for Physical AI models, working hands-on with laboratory automation and robotics platforms.

The role focuses on execution, testing and data-generation to advance our Physical AI use cases. Ideal candidates are enrolled in a mandatory work-linked Master’s in Analytical Engineering, fluent in French and English (B2 in English), and passionate about automation, AI, and

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