Research And Development Specialist
Pubblicato il 18-09-2026 - Meet Life Sciences in Bardi
Long-Term Planning & Resource Management
Si candidi qui sotto dopo aver letto tutti i dettagli e le informazioni di supporto relative a questa possibilità di lavoro.
- Develop quantitative projections for the R&D; pipeline, including development costs, resource requirements and associated investments.
- Work closely with Global Project Managers, Global Project Leads and other key R&D; stakeholders to develop robust short- and long-term workload forecasts.
- Support R&D; headcount and resource planning based on projected workloads and pipeline requirements.
- Partner with Finance and R&D; Planning & Control teams to ensure consistency between short- and long-term cost projections.
- Continuously improve R&D; long-term planning processes, methodologies and tools.
- Develop and maintain standard planning assumptions using internal and external benchmarks, data and subject-matter expertise.
- Ensure alignment between R&D; costs, workload projections and Probability of Technical and Regulatory Success (PTRS) assessments for internal projects and external opportunities.
- Collaborate with project teams and R&D; Performance Management to coordinate and maintain the project PTRS update process.
- Ensure the integrity, accuracy and ongoing maintenance of the Enterprise Project & Portfolio Management system (Planisware) and other reporting and business intelligence tools.
Pipeline Reviews & R&D; Strategy
- Support the development and ongoing refinement of the R&D; strategy and pipeline.
- Develop robust quantitative analyses and forecasts to support pipeline reviews and strategic decision-making.
- Ensure long-term R&D; projections are accurately reflected within the relevant financial planning systems.
- Support the development and maintenance of processes and tools used to assess and prioritise R&D; projects.
- Work closely with Global Strategy and Franchise teams to support portfolio prioritisation and investment decisions.
- Provide data-driven insights into pipeline composition, v