16 set - Romano di Lombardia
Meet Life Sciences
Long-Term Planning & Resource Management
Di seguito troverà tutto ciò che deve sapere su questa possibilità e sui requisiti richiesti ai candidati.
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- 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.
- 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, value, resource requirements and strategic opportunities.
- Develop and maintain standardised project business cases and project cards in line with evolving business requirements.
- Support senior R&D; leadership in the preparation and execution of cross-functional portfolio and investment review meetings.
- Coordinate with key stakeholders to align assumptions, forecasts, resource requirements and strategic priorities.
- Provide reliable analyses on the value, composition and strategic outlook of the R&D; pipeline.
- Translate complex portfolio and financial data into clear insights and recommendations for senior decision-makers.
What you will need
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- Degree in Management Engineering, Business Economics, Business Administration, Pharmaceutical Development or a related discipline .
- Alternatively, a degree in a scientific discipline combined with an MBA or significant relevant industry experience .
- Previous experience within pharmaceutical or biotech R&D; , Product Innovation, Portfolio Management, R&D; Planning or a related function.
- Strong understanding of pharmaceutical development processes, project management, portfolio management and performance management.
- Proven experience in R&D; strategy, portfolio planning, resource management or business planning within the pharmaceutical or biotech industry.
- Strong analytical and quantitative capabilities, with experience in forecasting, modelling and scenario analysis.
- Advanced Microsoft Excel skills and confidence working with complex datasets and financial models.
- Experience working with Enterprise Project & Portfolio Management systems, ERP platforms and Business Intelligence tools.
- Strong understanding of data analytics and the opportunities presented by digital transformation.
- Excellent communication and stakeholder management skills, with the ability to collaborate effectively across R&D;, Finance, Strategy and other functions.
- Strategic and commercially minded approach, with a strong focus on value creation and operational efficiency.
- Ability to work effectively in a complex, international and fast-paced environment.
- Previous experience working with Planisware and/or SAP .
- Experience with Power BI or similar Business Intelligence platforms.
- Experience developing predictive or optimisation models.
- Knowledge of programming languages or digital tools supporting data science and advanced analytics. xysqume
- Experience with AI, machine learning or other advanced analytical methodologies would be an advantage.
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