Job Reference: 579_24_ES_GHR_R2Position: Researcher - ML tools for the analysis of climate and health (R2) -AI4SClosing Date: Wednesday, 16 October, 2024About BSC: The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, and is a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe). BSC's mission is to research, develop and manage information technologies to facilitate scientific progress.Context And Mission: The Global Health Resilience (GHR) group led by ICREA Research Professor Rachel Lowe at the BSC-CNS is seeking a highly motivated data scientist to co-create robust harmonized datasets and dashboards for decision-support tools to enhance surveillance, preparedness, and response to global health challenges, including climate-sensitive infectious diseases.Key Duties:Co-create decision support systems to enhance public health resilience to climate changeConduct data audits of existing epidemiological, health system and environmental informationProcess, clean, and verify the integrity of data to be used for analysisPerform Extraction, Transform and Load (ETL) processesProcess real-time climate and health impact forecasts to feed into operational decision-support toolsConduct exploratory statistical analyses and create exploratory data analysis reportsProduce dashboards and design innovative ways to visualize dataDevelop training materials for researchers, data managers and stakeholdersCommunicate research results at scientific conferences and in refereed journalsEngage with local stakeholders, data managers and policy makersLead the data management plan and curation of shared resourcesCoordinate core activities of the global health resilience groupSupport administrative duties of the group, including arranging meetings, taking minutes, writing deliverable and mission reports, maintaining Wiki/webpages, etc.Develop open-source data and modelling toolsParticipate in external engagement activitiesOrganise and coordinate technical training courses and workshops with external partnersRequirements:Education: BSc and MSc in Statistics, Mathematics, Computer Science, Meteorology, Environmental Sciences, Physics, Public Health Geography, Demography, Epidemiology, or equivalentEssential Knowledge and Professional Experience: Experience in data management and statistical analyses; strong programming skills in a suitable language (e.G., R, Python) and experience with git; experience with Linux environments and scripting languages (e.G., bash).#J-18808-Ljbffr