Climate and Health Data Scientist (RE2)

Job Reference679_25_ES_GHR_RE2PositionClimate and Health Data Scientist (RE2)Closing DateMonday, 08 December, 2025Reference: 679_25_ES_GHR_RE2Job title: Climate and Health Data Scientist (RE2)About BSCThe 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.Look At The BSC ExperienceBSC-CNS YouTube ChannelLet's stay connected with BSC Folks!We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.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.If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.Context And MissionThe 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.Key DutiesCo-create decision support systems to enhance public health resilience to climate changeConduct data audits of existing epidemiological, health system and environmental informationProcess, clean, and verify the integrity of data to be used for analysisPerform Extraction, Transform and Load (ETL) processesHarmonise multi-source, multi-scale datasets (e.g. health surveillance, demographic, climate, hydrological, socio-economic, mobility, etc.)Develop automated data pipelines for operational decision support toolsConduct exploratory statistical analyses and create exploratory data analysis reportsProduce dashboards and design innovative ways to visualise dataDevelop training materials for researchers, data managers and stakeholdersCommunicate research results at scientific conferences and in refereed journalsSupport applications for competitive grants and projectsSupport 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 makersDevelop and maintain open-source data and modelling tools, e.g. R packagesRequirementsEducationBSc and MSc in Statistics, Mathematics, Computer Science, Meteorology, Environmental Sciences, Physics, Public Health Geography, Demography, Epidemiology, or equivalentEssential Knowledge and Professional ExperienceExperience in data management and statistical analysesStrong 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 repositoriesAbility to work in a collaborative professional environment within a transdisciplinary and international teamExperience with Linux environments and scripting languages (e.g., bash)Additional Knowledge and Professional ExperienceFluency in English is essential. Proficiency in Spanish and other languages would be advantageousExperience with machine learning methods and AIExperience with statistical downscaling and bias adjustments techniquesExperience with various types of data (e.g., epidemiological, meteorological, environmental, mobility, hydrological)Experience working with climate projections and counterfactualsExperience in the processing and evaluation of satellite/drone images and geodata (e.g., GIS).Experience with DockerExperience working with public health stakeholders and international agenciesCompetencesProblem-solving, proactive, result-oriented work attitudeExcellent communication skillsAbility to show initiative, prioritize tasks and meet deadlinesAbility to learn and adapt to multiple programming languages easilyDemonstrates kindness, empathy, and respectful communication in team interactions, fostering collaboration and a positive work environmentConditionsThe position will be located at BSC within the Earth Sciences DepartmentWe offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation proceduresDuration: Open-ended contract due to technical and scientific activities linked to the project and budget durationHolidays: 23 paid vacation days plus 24th and 31st of December per our collective agreementSalary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in BarcelonaStarting date: ASAPApplications procedure and processAll applications must be submitted via the BSC website and contain:A full CV in English including contact detailsA cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.Development of the recruitment processThe selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 pointsInterview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment@bsc.es.For more information, please follow this link.DeadlineThe vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.OTM-R principles for selection processesBSC-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 panels 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 linkApplication FormYou are applying for the following job offerName and Surname *Gender ** *FemaleMaleOtherEmail *Nationality** *Where did you first see this job offer (Please indicate the name of the website, social media, referral etc.)? *please choose one of this and if needed describe the option : - BSC Website - Euraxess - Spotify - 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 oneIndicate what BSC department/s you want to apply.Computer SciencesCASELife SciencesEarth SciencesIndicate what research group/s you want to apply.Upload CV (select the file, then click the Upload button) *Please, upload your CV document using the following name structure: Name_Surname_CVFiles must be less than 3 MB.Allowed file types: txt rtf pdf doc docx.Cover Letter (optional) (if so, select the file and then click the Upload button)Please, upload your CV document using the following name structure: Name_Surname_CoverLetterFiles must be less than 3 MB.Allowed file types: txt rtf pdf doc docx zip.Other Documents (optional) (if so, select the file and then click the Upload button)Please, upload your CV document using the following name structure: Name_Surname_OtherDocumentFiles must be less than 10 MB.Allowed file types: txt rtf pdf doc docx rar tar zip. 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