Argenx

HQ
Gent
Total Offices: 4
1,190 Total Employees
Year Founded: 2008

Jobs at Argenx

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Recently posted jobs

One Month AgoSaved
Hybrid
Gent, BEL
Biotech
Lead argenx’s end-to-end SOX program across R&D, Purchase to Pay, Treasury, and HR. Design and evolve scalable internal controls, assess risks and deficiencies, drive remediation, coordinate Internal and External Audit activities, and embed controls into strategic initiatives and digital solutions. Partner with Finance and business stakeholders to strengthen financial reporting, automate processes, promote control ownership, and support a risk-aware culture. Periodic international travel is required.
One Month AgoSaved
In-Office
Boston, MA, USA
Biotech
Provide high-level administrative support to senior leaders: manage calendars, schedule meetings and travel, draft communications, prepare agendas and minutes, handle expense reports and vendor/contract tasks, liaise with global admin teams, and maintain confidentiality while juggling competing priorities.
2 Months AgoSaved
In-Office or Remote
Gent, BEL
Biotech
Lead and optimize governance for the Senior Leadership Team, Operations Committee, and Portfolio Committee: prioritize agendas, build forum structure and charters, ensure high-impact prework, facilitate meetings to clear decisions and owners, publish and track actions, embed agile and AI-enabled ways of working, and develop capability across the organization.
2 Months AgoSaved
In-Office
Gent, BEL
Biotech
Lead and deliver the Rewards & Recognition strategy across Developed Markets (excl. US, Canada, Japan). Own compensation cycles, benefits, equity program decisions, recognition mechanisms, and global mobility. Co-architect global R&R initiatives, partner with HRBPs and business leaders, build vendor relationships, and grow a high-impact R&R team to drive talent attraction, retention, and pay transparency.
2 Months AgoSaved
In-Office
Gent, BEL
Biotech
Lead strategy and execution for an enterprise AI platform and MLOps/LLMOps frameworks. Define multi-year platform roadmap, manage teams, vendors, and budget, drive deployment and lifecycle management of LLMs and enterprise AI tools, ensure security/compliance and ethical AI practices, and partner with data science and business units to operationalize AI at scale.