Climate & Health Data Scientist (R2)

Job Reference



Climate & Health Data Scientist (R2)

Closing Date

Thursday, 30 June, 2022
Reference: 194_22_ES_GHR_R2
Job title: Climate & Health Data Scientist (R2)

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 hosting member of the PRACE European distributed supercomputing infrastructure. 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 770 staff from 55 countries.

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Context And Mission

The Global Health Resilience (GHR) Team led by ICREA Research Professor Rachel Lowe at the BSC-CNS is seeking a highly motivated climate and health data scientist to help discover valuable information hidden in multi-source datasets, to inform decision-support modelling tools for climate-sensitive diseases at a range of spatial and temporal scales.

The mission of GHR Team is to apply a transdisciplinary approach to co-designing policy-relevant methodological solutions, to enhance surveillance, preparedness and response to climate-sensitive disease outbreaks and health outcomes. The team 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 Team is part of the Earth System Services Group (ESS) within the Earth Sciences Department, 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 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 dashboards to summarise and visualisation 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 benefit from interdisciplinary training opportunities tailored to their experience and interests, working in close collaboration with the Data and Diagnostics team that co-develops the analysis packages. The research will be positioned within the context of WMO’s Global Framework for Climate Services (GFCS), whose aim is to provide actionable climate information to key sectors of society, including health. 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 policy makers in Latin America and the Caribbean, 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.

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 visualise 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
  • Engage with local stakeholders, data managers and policy makers


  • Education
    • BSc and MSc in Statistics, 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)
    • Experience using data visualization packages, mapping tools and dashboard creation (e.g., Shiny, etc)
    • 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
  • Additional Knowledge and Professional Experience
    • Experience with machine learning methods
    • Experience with data from the field of climate and environmental sciences
    • Experience in the processing and evaluation of satellite/drone images and geodata (e.g., GIS).
    • Experience working with public health stakeholders and international agencies
  • Competences
    • Problem-solving, pro-active, result-oriented work attitude
    • Excellent communication skills
    • Ability to show initiative, prioritize tasks and meet deadlines
    • Ability to learn and adapt to multiple programming languages easily


  • The position will be located at BSC within the Earth Sciences Department
  • We offer a full-time contract, a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, tickets restaurant, private health insurance, fully support to the relocation procedures
  • Duration: Temporary - 4 years renewable
  • Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
  • Starting date: 1 July 20222

Applications procedure and process

All applications must be made through BSC website and contain:

  • A full CV in English including contact details
  • A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered

    In accordance with the OTM-R principles, a gender-balanced recruitment panel is formed for every vacancy at the beginning of the process. After reviewing the content of the applications, the panel will start the interviews, with at least one technical and one administrative interview. A profile questionnaire as well as a technical exercise may be required during the process.

    The panel will make a final decision and all candidates who had contacts with them will receive a feedback with details on the acceptance or rejection of their profile.

    At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedback/complaints about our Recruitment Processes, please contact recruitment [at] bsc [dot] es.

    For more information follow this link

  • Deadline

    The vacancy will remain open until suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.

    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 the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment planels and recognizing career breaks etc.
    BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
    For more information follow this link
    This position is reserved for candidates who meet the requirements and have the legal status of disabled persons with a degree of disability equal to or greater than 33%. In case there are no applicants with disabilities that meet the requirements, the rest of the candidates without declared disability will be evaluated.

    Application Form

    please choose one of this and if needed describe the option : - BSC Website - Euraxess - HiPeac - LinkedIn - Networking/Referral: include who and how - Events (Forum, career fairs): include who and how - Through University: include the university name - Specialized website (Metjobs, BIB, other): include which one - Other social Networks: (Twitter, Facebook, Instagram, Youtube): include which one - Other (Glassdoor, ResearchGate, job search website and other cases): include which one
    Please, upload your CV document using the following name structure: Name_Surname_CV
    Files must be less than 3 MB.
    Allowed file types: txt rtf pdf doc docx.
    Please, upload your CV document using the following name structure: Name_Surname_CoverLetter
    Files must be less than 3 MB.
    Allowed file types: txt rtf pdf doc docx zip.
    Please, upload your CV document using the following name structure: Name_Surname_OtherDocument
    Files must be less than 10 MB.
    Allowed file types: txt rtf pdf doc docx rar tar zip.
    ** Consider that the information provided in relation to gender and nationality will be used solely for statistical purposes.