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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

21Open Positions

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Climate and Health Data Scientist (RE2)

Barcelona Supercomputing Center
Found 2 weeks ago
Location
Barcelona, Spain
Time
Full-time
Work Mode
Not disclosed
Salary
competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
Visa Help
Not disclosed
Last Verified
2 weeks ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • R
  • Python
  • git
  • Shiny
  • Tableau
  • Power BI
  • Linux
  • bash
  • machine learning
  • statistical downscaling
  • bias adjustments
  • epidemiological data
  • meteorological data
  • environmental data
  • mobility data
  • hydrological data
  • climate projections
  • satellite images
  • drone images
  • geodata
  • GIS
  • Docker

Soft Skills

  • Problem-solving
  • proactive
  • result-oriented work attitude
  • Excellent communication skills
  • Ability to show initiative
  • prioritize tasks
  • meet deadlines
  • Ability to learn and adapt to multiple programming languages easily
  • kindness
  • empathy
  • respectful communication
  • collaboration
  • positive work environment
  • Ability to work in a collaborative professional environment within a transdisciplinary and international team

Job Description

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, R packages 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. The selected candidate will conduct data audits and exploratory data reports to summarise characteristics, biases and completeness of both open-source and stakeholder provided data to provide decision-support at multiple spatial scales and different forecasting horizons. They will perform data linkage, involving post-processing, downscaling, integration, harmonization and machine learning techniques, and visualization of multi-source, multi-scale epidemiological, climatic, environmental, demographic, socio-economic, human movement, and health systems datasets. They will develop R packages for data harmonisation and modelling, co-design dashboards to summarise and visualise multi-sourced data and facilitate communication with the team and stakeholders, and prepare and deliver material for stakeholder training and capacity building activities. The successful candidate will work in close collaboration with the Data and Diagnostics team that co-develops the analysis packages. This position presents an opportunity to work alongside a wide range of leading international climate and health scientists delivering cutting-edge climate services for the health sector to inform policymakers in Latin America and the Caribbean, Asia, Europe, and worldwide. Successful candidates will benefit from expert training and BSC-CNS staff benefits: international multidisciplinary scientific environment and advanced applied research training. We encourage applications from highly motivated candidates with demonstrated experience in impact modelling for public health and an interest in applied research in the context of climate and environmental change.

Requirements

  • BSc and MSc in Statistics, Mathematics, Computer Science, Meteorology, Environmental Sciences, Physics, Public Health Geography, Demography, Epidemiology, or equivalent
  • 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)

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English

Nice to Haves

  • Spanish
  • other languages
  • machine learning methods and AI
  • statistical downscaling and bias adjustments techniques
  • various types of data (e.g., epidemiological, meteorological, environmental, mobility, hydrological)
  • working with climate projections and counterfactuals
  • processing and evaluation of satellite/drone images and geodata (e.g., GIS)
  • Docker
  • working with public health stakeholders and international agencies
▶Apply Now

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