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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