Long-Term Planning & Resource Management- 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- 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.- Experience with AI, machine learning or other advanced analytical methodologies would be an advantage.#J-18808-Ljbffr

📌 Research And Development Specialist (Como)
🏢 Meet Life Sciences
📍 Como