Job Reference: 579_24_ES_GHR_R2 Position: Researcher - ML tools for the analysis of climate and health (R2) -AI4S Closing Date: Wednesday, 16 October, 2024 About 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 change Conduct data audits of existing epidemiological, health system and environmental information Process, clean, and verify the integrity of data to be used for analysis Perform Extraction, Transform and Load (ETL) processes Process real-time climate and health impact forecasts to feed into operational decision-support tools Conduct exploratory statistical analyses and create exploratory data analysis reports Produce dashboards and design innovative ways to visualize data Develop training materials for researchers, data managers and stakeholders Communicate research results at scientific conferences and in refereed journals Engage with local stakeholders, data managers and policy makers Lead the data management plan and curation of shared resources Coordinate core activities of the global health resilience group Support 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 tools Participate in external engagement activities Organise and coordinate technical training courses and workshops with external partners Requirements: Education: BSc and MSc in Statistics, Mathematics, Computer Science, Meteorology, Environmental Sciences, Physics, Public Health Geography, Demography, Epidemiology, or equivalent Essential 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