Head of R&D Data Elaboration

1 giorno fa

Veneto, Italia Chiesi Tempo pieno
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)