Smart Lab Automation Engineer – AI & Data-Driven Ops

Evotec WD

Toulouse

Sur place

EUR 70 000 - 100 000

Plein temps

14 jours+
Générateur de candidature

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Avantages offerts par ce poste

Flexible-hybrid work arrangement
Diversity policy

Résumé du poste

Evotec WD in Toulouse is seeking a lab automation specialist to drive digitalization across Process & Product Development, from concept to implementation, with a focus on AI/ML opportunities and integration between instruments, databases and enterprise apps.

You will collaborate with global IT, ensure data governance, and coach scientists while aligning with Sandoz Digital and Operational Excellence strategies; a background in automation, programming and data analytics is essential.

Qualifications

  • Engineering or Master’s degree in engineering, biology, biotechnology, automation, robotics or related field.
  • Ideally 5 years of experience in a similar automation/lab role.
  • Professional English level required for international collaboration.

Responsabilités

  • Drive automation and digitalization initiatives from concept to implementation.
  • Identify AI/ML opportunities to optimize lab operations and workflows.
  • Standardize automation platforms and data structures across systems.
  • Develop scalable solutions linking instruments, robotics, databases and enterprise apps.
  • Support cybersecurity and data governance with global IT teams.
  • Manage automation projects including planning, budgeting and vendor coordination.
  • Provide coaching and training to laboratory scientists on automation platforms.

Connaissances

Python
C++
Power BI
JMP
LIMS
Automation systems
Instrumentation & Control
English proficiency
Project management
Collaboration

Formation

Master's degree in engineering/biotechnology/automation/robotics
Engineering degree

Outils

Python
C++
Power BI
JMP
LIMS
SCADA/PLC

Description du poste

Evotec WD in Toulouse is seeking a lab automation specialist to drive digitalization across Process & Product Development, from concept to implementation, with a focus on AI/ML opportunities and integration between instruments, databases and enterprise apps.

You will collaborate with global IT, ensure data governance, and coach scientists while aligning with Sandoz Digital and Operational Excellence strategies; a background in automation, programming and data analytics is essential.

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