Excelya

Global Benefit-Risk Scientist

🇬🇧 London, Wielka Brytania Hybrydowo Opieka zdrowotna i nauka Pełny etat Lead Opublikowano Maj 28, 2026
Tryb pracy Hybrydowo
Forma zatrudnienia Pełny etat
Poziom doświadczenia Lead
Język English
Opublikowano 28 maja 2026
Ostatnio sprawdzono 31 maja 2026
Kontekst JobGrid

Podsumowanie roli od JobGrid

Global Benefit-Risk Scientist at Excelya: London, Wielka Brytania; Hybrydowo; Pełny etat; Lead; Opieka zdrowotna i nauka. 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: London, Wielka Brytania, Hybrydowo
  • Role classification: Opieka zdrowotna i nauka, Pełny etat, 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