Postdoctoral Researcher - Health Impact Attribution (R2)

Job Reference 8_25_ES_GHR_R2 Position Postdoctoral Researcher - Health Impact Attribution (R2) Closing Date Friday, 07 February, 2025 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 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 to facilitate scientific progress.
BSC combines HPC service provision and R&D into both computer and computational science under one roof, and currently has over 1000 staff from 60 countries.
We are particularly interested 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 Mission Despite increasing awareness of climate change impacts on health, our ability to quantify the extent to which climate change is responsible for worsening health outcomes remains limited.
Health impact attribution studies can provide essential input into policy-making processes by quantifying the climate change related health burden via causally linking greenhouse gas emissions to observed health outcomes.
This is crucial to informing health risk assessments, public health interventions, financial investments, and communication strategies aimed at policymakers and the public.
The Global Health Resilience (GHR) group led by ICREA Research Professor Rachel Lowe at the BSC-CNS is seeking a highly motivated postdoctoral researcher to co-create innovative modelling tools for impact attribution of climate-related health risks.
The selected candidate will work within the Wellcome Trust funded project TACTIC (HealTh ImpAct ToolkIt for Climate change attribution).
The project will deliver a user-friendly digital toolkit comprising resources tailored to the needs of policymakers, researchers and other professionals to better comprehend, interpret and communicate findings and conduct new health impact attribution studies.
The GHR group conducts cutting-edge methodological research on disentangling the impacts of global environmental change on infectious disease risk and co-developing indicators and impact-based forecasting models.
This position presents an opportunity to work alongside a wide range of leading international climate and health scientists and practitioners.
Key Duties Co-design innovative methodologies for impact attribution of climate-related health risks Harmonise multi-source, multi-scale climate, land-type, demographic, socio-economic, human movement and health datasets Formulate statistical, machine learning and mathematical models to understand the impact of environmental change and socio-economic factors on infectious disease risk and health outcomes Develop indicators to track the impact of climate change on multiple health outcomes Contribute to the development of open-source modelling tools, e.g.
R packages Incorporate aspects of inequalities, inequities and injustices in quantitative research Contribute to health impact stories and communication materials to disseminate research to a broad audience Disseminate research outputs in peer-reviewed scientific papers and international conferences Interact with scientists in the group, department, center and other institutions in Barcelona Engage with local communities, stakeholders and policy makers Develop training materials and deliver training workshops Support administrative duties of the group Contribute to proposals for competitive funding Requirements Education BSc and MSc in Epidemiology, Biology, Ecology, Meteorology, Environmental Sciences, Geography, Physics, Mathematics, Statistics (or equivalent) PhD in infectious disease epidemiology, environmental epidemiology, statistical, ecological or environmental modelling or related field 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) Excellent written and verbal communication skills in English, demonstrated in scientific publications Ability to work in a collaborative professional environment within a transdisciplinary and international team Additional Knowledge and Professional Experience Fluency in English is essential.
Proficiency in Spanish and other languages would be advantageous Experience with processing data from the field of climate and environmental sciences Experience with Bayesian modelling and spatial epidemiology Experience with machine learning methods and AI Experience with statistical downscaling and bias adjustments techniques Experience with climate projections Experience harmonising various types of data Experience with Linux environments and scripting languages Experience working with public health stakeholders and international agencies Knowledge of infectious disease transmission modelling Competences Ability to work in a team and in a multi-cultural environment Problem-solving, proactive, 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 Demonstrates kindness, empathy, and respectful communication in team interactions Conditions The position will be located at BSC within the Earth Sciences Department We offer a full-time contract (37.5h/week), a good working environment, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures Duration: Open-ended contract due to technical and scientific activities linked to the project Holidays: 23 paid vacation days plus 24th and 31st of December Salary: competitive salary commensurate with qualifications and experience Starting date: 1 Mar 2025 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.
The panel will make a final decision and all candidates who had contacts with them will receive feedback.
Deadline The 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 processes BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers and the Open, Transparent and Merit-based Recruitment principles (OTM-R).
BSC-CNS is an equal opportunity employer committed to diversity and inclusion.
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