Climate and Health Data Scientist

hace 2 semanas

Barcelona, España Barcelona Supercomputing Center (BSC) A tiempo completo

**Job Reference**:

- 940_24_ES_GHR_RE2

**Position**:

- Climate and Health Data Scientist (RE2)

**Closing Date**:

- Friday, 17 January, 2025

**Reference**: 940_24_ES_GHR_RE2

**Job title**: Climate and Health Data Scientist (RE2)

**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, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.

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We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.

**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 harmonised datasets and dashboards for decision-support tools to enhance surveillance, preparedness, and response to global health challenges, including climate-sensitive infectious diseases.

The GHR group conducts cutting-edge methodological research on disentangling the impacts of global environmental change on infectious disease risk and co-developing impact-based forecasting models at sub-seasonal to decadal timescales in collaboration with public health, disaster risk management, and humanitarian agencies. The GHR group works closely with the Earth System Services (ESS) group, whose mission is to research the impact of weather, atmospheric chemistry and climate upon socio-economic sectors, including renewable energy, agriculture, water management, forest fires, urban development and health and demonstrate the ongoing value of earth system services to society and the economy.

**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
- Harmonise multi-source, multi-scale datasets (e.g. health surveillance, demographic, climate, hydrological, socio-economic, mobility, etc.)
- Develop automated data pipelines for operational decision support tools
- Conduct exploratory statistical analyses and create exploratory data analysis reports
- Produce dashboards and design innovative ways to visualise data
- Develop training materials for researchers, data managers and stakeholders
- Communicate research results at scientific conferences and in refereed journals
- Support administrative duties of the group, including arranging meetings, taking minutes, writing deliverable and mission reports, maintaining Wiki/webpages, etc.
- Engage with local stakeholders, data managers and policy makers
- Develop and maintain open-source data and modelling tools, e.g. R packages

**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)
- Experience with version control systems (e.g., git)
- Experience using data visualisation packages, mapping tools and dashboard creation (e.g., Shiny, Tableau, Power BI)
- Excellent written and verbal communication skills in English, demonstrated in scientific publications and/or well documented repositories
- Ability to work in a collaborative professional environment within a transdisciplinary and international team
- Experience with Linux environments and scripting languages (e.g., bash)
- Additional Knowledge and Professional Experience
- Fluency in English is essential. Proficiency in Spanish and other languages would be advantageous
- Experience with machine learning methods and AI
- Experience with statistical downscaling and bias adjustments techniques
- Experience with various types of data (e.g., epidemiological, meteorological, environmental, mobility, hydrological)
- Experience working with climate projections
- Experience in the processing and evaluation of satellite/drone images and geodata (e.g., GIS).
- Experience with Docker
- Experience work

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