R&D Scientist in Chemistry and Materials Science
Pubblicato il 06-10-2026 - GVS Filter Technology in Italia
GVS Group is one of the world’s leading manufacturers of filter solutions for applications in the Healthcare, Life Sciences, Safety, Transfusion Medicine and Energy & Mobility sectors.
In over 40 years of history, GVS has evolved from a supplier of components for the healthcare sector to a global Group that produces highly technological diversified filtration solutions.
The Group has always paid great attention to research, development and innovation of its products and processes and has shown a strong trend towards development in global markets since its foundation.
In addition to the corporate headquarters in Bologna, GVS currently has 20 plants located in Italy, United Kingdom, Brazil, United States, China, Mexico, Romania, and Puerto Rico, and 30 commercial offices located all over the world.
GVS has always adopted a “glocal” approach: it operates locally in contact with its customers but relies on the strength of a global network.
For our HQ in Zola Predosa (BO), we are looking for a R&D; Membrane & Chemistry Scientist. Reporting to the R&D; Membrane & Chemistry Manager,
the eligible candidate will plan and execute defined development activities with increasing autonomy. The role connects practical laboratory/pilot execution with data analysis, technical conclusions, documentation and support to troubleshooting or lifecycle activities.
R&D; Project Execution
Plan and execute assigned experiments, tests or work packages according to project objectives.
Translate technical objectives into practical experimental plans under manager or senior guidance.
Track activities, priorities, samples, data and deliverables within the assigned scope.
Development and Evaluation
Prepare, evaluate and compare materials, formulations, samples or process variants.
Assess how changes in material, process or handling affect product performance and robustness.
Coordinate or perform relevant characterization and performance testing.
Support root-cause analysis with reliable data and pra