It infrastructure engineer állás, munka

lead the planning, execution, and monitoring of clinical trials to ensure compliance with regulatory requirements and company standards...

• Technical responsibility in development projects in the field of Intraocular Lenses (IOL)
• Responsibility for the technical support of existing products throughout their entire lifecycle and assistance with approval in international markets

• Responsible for the functionality, data quality, compliance, and user-friendliness of RIMS and eCTD systems.
• Ensuring the operation, maintenance and further development of the systems (Extedo eCTDmanager, Veeva RIM).

• A minimum of 10 years of continuous abstinence from all psychoactive substances
• Excellent written and spoken English (C2 professional proficiency); other languages are an advantage

• identify, target, and develop new business opportunities with hospitals, clinics, diagnostic centers, and healthcare groups across the GCC
• increase the share of wallet within strategic accounts by promoting and expanding the existing product portfolio

• Leading the development of the faculty's research strategy and building a strong interdisciplinary team.
• Establishing translational research projects within SFU MED and in collaboration with national and international partners.

• take over a wide range of analytical and research tasks, support in the creation and updating of presentations as well as sales support materials and assets
• work on one dedicated sales enablement project, assisting in project management, and content creation

• Advising our customers by providing product and application expertise as well as technical support in the area of fluid management
• Supporting the sales department in analyzing customer requirements and customer processes (incl. identification of optimization opportunities)

• Lead complex, data-driven engagements with international healthcare stakeholders
• Design and own project frameworks, KPI models, scoring methodologies, and implementation roadmaps in close collaboration with the Analysis and Data Science teams