Excelya

Global Benefit-Risk Scientist

🇧🇪 Brussels, Belgien Hybrid Gesundheit & Wissenschaft Vollzeit Lead Veröffentlicht Mai 28, 2026
Arbeitsort Hybrid
Anstellung Vollzeit
Seniorität Lead
Sprache English
Veröffentlicht 28. Mai 2026
Zuletzt geprüft 31. Mai 2026
JobGrid-Kontext

Rollenübersicht von JobGrid

Global Benefit-Risk Scientist at Excelya: Brussels, Belgien; Hybrid; Vollzeit; Lead; Gesundheit & Wissenschaft. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: Brussels, Belgien, Hybrid
  • Role classification: Gesundheit & Wissenschaft, Vollzeit, Lead
  • Source freshness: checked by JobGrid on 2026-05-31.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

This role combines scientific expertise with innovation, shaping how safety data is assessed, interpreted, and communicated across a global environment. Ideal for a strategic thinker passionate about advancing signal detection, safety writing, and AI-enabled transformation.

Main Responsibilities:

  • Drive initiatives to enhance Benefit–Risk Assessment & Management (BRAM) practices, tools, and processes
  • Lead and deliver capability-building and transformation projects, from planning to implementation
  • Manage project timelines, milestones, and stakeholder communication
  • Oversee daily activities across signal detection and safety writing workflows (processes, tools, data, documentation)
  • Support continuous improvement of BRAM infrastructure and ensure regulatory compliance
  • Implement process and SOP updates within safety and signal detection systems
  • Collaborate with IT to advance digital transformation (automation, workflow optimisation, AI integration)
  • Apply strong expertise in signal detection and safety writing to ensure high-quality outputs