Head of R&D Data Elaboration
Pubblicato il 16-10-2026 - Chiesi in Ferrara
Overview Strategic leader driving the digital transformation of R&D; through advanced data elaboration, modelling and visualization. You will grow and mentor a team, translate research needs into data solutions, and shape the data-centric roadmap across R&D.; Your work turns complex data into actionable insights, leveraging HPC and external partnerships. This role strengthens Chiesi’s R&D; capabilities and global collaboration.
Retribuzione / Benefits
remote work opportunities flexible working approach relocation support tax assistance for foreign colleagues people-care services continuous training and development
Responsabilità
Lead and grow a high-performing data elaboration and visualization team translate stakeholder needs in R&D; into data solutions aligned with research goals drive the R&D; digital transformation by implementing the data roadmap oversee the lifecycle of data models and visualizations from design to deployment contribute to budget planning for data elaboration initiatives develop advanced analytical models to enable data-driven decisions support the R&D; data platform,
including HPC-enabled analytics establish quality standards for data elaboration and modeling collaborate with COIC to enhance data capabilities consolidate the digital network with internal and external partners support cross-functional corporate data initiatives impacting R&D; forge and manage strategic partnerships with external orgs and academia communicate findings to R&D; leadership through clear reports stay updated on latest data visualization and analytics trends champion adoption of new technologies in R&D; enhance Chiesi’s reputation as leader in analytics and tech participate in AI governance as part of the R&D; Vertical Committee and R&D; Squad
Requisiti fondamentali
PhD or Master’s in relevant field minimum 5+ years leading data elaboration/computation modelling in pharma/biotech/medtech strong communication to both technical and non-technical audiences team-oriented and cross-functional collaboration attention to detail and scientific rigor data visualization tools (Tableau, Power BI) programming languages (Python, R, JavaScript) data manipulation (SQL)