.The Vall d'Hebron Research Institute (VHIR) is a public sector institution that promotes and develops the research, innovation, and biosanitary teaching of the Vall d'Hebron University Hospital. Through the excellence of our research, we identify problems of society and contribute to spreading them around the world. In April 2015, the Vall d'Hebron Research Institute (VHIR) obtained the recognition of the European Commission HR Excellence. This recognition proves that VHIR endorses the general principles of the European Charter for Researchers and a Code of Conduct for the Recruitment of Researchers (Charter & Code). VHIR embraces Equality and Diversity.As reflected in our values, we work toward ensuring inclusion and equal opportunity in recruitment, hiring, training, and management for all staff within the organization, regardless of gender, civil status, family status, sexual orientation, religion, age, disability, or race.Position: Experienced Scientific EU Project Manager The Vall d'Hebron Research Institute (VHIR) offers a vacant position for an experienced Scientific EU Project Manager in the Research Group on Rare Anemias Disorders in Barcelona, who will lead the delivery of several high-impact research projects, particularly GenoMed4All (Genomics and Personalized Medicine for all through Artificial Intelligence in Haematological Diseases) and SYNTHEMA (Synthetic generation of hematological data over federated computing frameworks), both funded by the European Union in the frame of the Horizon Europe Programme.GenoMed4All supports the pooling of genomic, clinical data, and other "-omics" health data through a secure and privacy-respectful data sharing platform based on the novel Federated Learning scheme, to advance research in personalized medicine in haematological diseases thanks to advanced novel Artificial Intelligence (AI) models and standardized sharing of cross-border data. Building upon the results of this project, SYNTHEMA aims to establish a privacy-preserving, cross-border hub to develop and validate innovative AI models for clinical data anonymisation and synthetic data generation in rare hematological diseases.Job Description Education and Qualifications: University degree in area of science (i.E