Digital, Data
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As part of Chiesi’s digital transformation, you will lead delivery of innovative digital initiatives in pharma R&D. You’ll bridge business stakeholders, technical teams, and external partners to ensure on-time, on-budget, and compliant solutions. You’ll apply strong project management and R&D knowledge to support prioritized digital activities and enable fast adoption of new insights. This role offers shaping digital capabilities within a regulated, innovation-driven environment and collaborating across global sites.
Retribuzione / Benefits- pension
- private medical insurance
- wellbeing programme
- flexible benefits programme
- relocation support
- remote or hybrid working options
- Coordinate plans and execution of digital activities across R&D to ensure timely delivery
- Provide project management support aligned with Global Project Management standards
- Maintain control of timelines, budgets, and effort for R&D Digital initiatives
- Support implementation of prioritized digital solutions per the R&D transformation roadmap
- Identify and cascade new tools and processes to improve speed and adoption of insights
- Foster digital innovation capabilities and optimize business processes with suitable technical solutions
- Consolidate the digital network with internal experts and external partners
- Facilitate cross-functional communication to achieve common project goals
- Promote lean processes and agile governance for effective project delivery
- 5+ years in pharma/biotech/medtech with project management supporting digital solutions in R&D
- Strong knowledge of pharma R&D and drug development lifecycle
- Experience overseeing digital processes/tools deployment in drug development
- Experience with project and financial management in new product development
- Fluent in English
- Knowledge of Data science & modelling (incl. AI/generative AI), data management, programming
- Familiarity with systems relevant to Pharma R&D
- strong communication
- stakeholder management
- cross-functional collaboration
- Data science & modelling
- AI and generative AI awareness
- data management
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