Job Reference
580_24_ES_GHR_RE2
Position
Research Engineer - Data Science for Climate and Health (RE2) - AI4S
Closing Date
Monday, 16 September, 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 involved in significant HPC initiatives in Europe. The mission of BSC is to research, develop and manage information technologies to facilitate scientific progress. We promote Equity, Diversity and Inclusion, fostering an environment where everyone is appreciated for who they are, regardless of differences.
Context And Mission
The Global Health Resilience (GHR) group 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. The selected candidate will conduct data audits, perform data linkage, and develop dashboards to summarize and visualize data, facilitating communication with the team and stakeholders.
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 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 Support applications for competitive grants and projects Coordinate core activities of the global health resilience group Engage with local stakeholders, data managers, and policy makers Lead the data management plan and curation of shared resources Organize and coordinate technical training courses and workshops with external partners Requirements Education: BSc and MSc in relevant fields Essential Knowledge and Professional Experience:
Experience in data management and statistical analyses Strong programming skills in R or Python Excellent written and verbal communication skills in English Ability to work in a collaborative professional environment Competences:
Ability to work in a team and in a multi-cultural environment Problem-solving, pro-active, result-oriented work attitude Excellent communication skills Conditions Full-time contract (37.5h/week), flexible working hours, and private health insurance Duration: 4 years Holidays: 23 paid vacation days plus additional days Salary: 42,000€ Applications procedure and process All applications must be submitted via the BSC website and contain:
A full CV in English A cover/motivation letter in English The selection will be carried out through a competitive examination system.
Deadline
The vacancy will remain open until a suitable candidate has been hired.
OTM-R principles for selection processes
BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and is an equal opportunity employer.
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