Job offer: Computer programmer(s) for data processing and software development [ERC CoG EARLY-ADAPT + ERC PoC HHS-EWS]


The Barcelona Institute for Global Health (ISGlobal) is a cutting-edge institute addressing global public health challenges through research, translation into policy and education. ISGlobal has a broad portfolio in communicable and non-communicable diseases including environmental and climate determinants, and applies a multidisciplinary scientific approach ranging from the molecular to the population level. Research is organized in the following main areas, Malaria and other Infectious Diseases,  Maternal, Child and reproductive Health, Urban Health and Child and environmental health, Climate & Non-Communicable Diseases.  ISGlobal is accredited with the Severo Ochoa distinction, a seal of excellence of the Spanish Science Ministry. RYC2018-025446-I financiada por MCIN/AEI /10.13039/501100011033 y por El FSE invierte en tu futuro.











What we are looking for

We are seeking one or two talented and highly motivated computer programmers to join the research team of Dr. Joan Ballester  at ISGlobal  within the framework of various research projects, mainly the ERC Consolidator grant EARLY-ADAPT  and the ERC Proof-of-Concept project HHS-EWS (see “Project information” below). The team is at the forefront of environmental epidemiology by analysing a novel database of human health in Europe, which incorporates a range of environmental, socioeconomic and demographic variables and novel digital data streams at different spatiotemporal scales.
The main duty of the chosen candidate(s) is to contribute to the design, creation, harmonisation and management of the team research database. Towards this aim, the chosen candidate(s) will have to
  • design and implement harmonization protocols for a successful integration of data,
  • write and run scripts to transform the data into a common data format, and
  • interact with the scientists of the group to adapt the data to their scientific needs.
Additionally, the chosen candidate(s) will contribute to other research lines of the group, such as the develop of operational health early warning systems driven by real-time weather forecasts. This includes the data collection process, the creation of subroutines that automatically download new, real-time or updated datasets, such as climate and air quality forecasts and projections, and the post-processing of large data files to support the research of other team members.
The candidate is expected to closely interact with all the other members of the team, in order to better design and update the database, and address any need in terms of data, programming and specialized software. The candidate is not requested to contribute to scientific research, but any interest in that regard will be taken into consideration.

Competences and duties

The chosen candidate(s) is requested to have good programming skills in R.

In addition, it is desired that the chosen candidate(s) meets as many of the following criteria as possible:

  • have experience with Linux environment and scripting;
  • have experience with Shiny, Python and/or NetCDF;
  • have experience with Shapefiles and geospatial data;
  • have experience with the management and analysis of climate and/or health data;
  • have a good level of English;
  • be willing to work in an inter-disciplinary project team within a highly collaborative research institute.


  • Dedication: Full- or part-time.
  • Starting date: As soon as possible.

How to apply

Applicants must fill in the request form including the following reference: CompProg_CATALYSE_Jan23
Applications should include:
  • the Curriculum Vitae;
  • copy of the highest diploma.
Only shortlisted candidates will be contacted.

Project information

EARLY-ADAPT (“Signs of Early Adaptation to Climate Change”, 2021-2026) is a European Research Council Consolidator Grant (ERC-2019-CoG ), whose overarching aim is to jointly analyse the multiple drivers of recent trends in human health. Its driving hypothesis is that societies are starting to adapt to climate change, but the effectiveness of early adaptation is heterogeneous in space and time. EARLY-ADAPT is creating a daily, continental-wide database with multiple health outcomes, climate variables, air pollutants, desert dust and winter infectious diseases. The database is being used to model the relation between health and the environment, quantify the modifying effect of the societal factors, and perform a predictability analysis to determine the most realistic adaptation scenarios for the projections of future health. The project will allow to detect, understand and quantify the inequalities in adaptation between countries, regions, cities and social groups. More information is available here .

HHS-EWS (“Operational Heat-Health-Social Early Warning System”, 2022-2024) is a European Research Council Proof-of-Concept Grant (ERC-2022-PoC ), which aims to create a novel operational early warning system for environmental temperatures that incorporates the real risks to people's health, especially that of the most vulnerable populations. The system will transform the predictability of atmospheric variables into health predictions using epidemiological models specifically designed for the most vulnerable social groups. HHS-EWS is funded by the ERC Proof-of Concept scheme, which is intended to transform the theoretical research of the parent project into high-risk but potentially high-benefit innovations. In this case, the innovation aims to increase society's resilience to climate change, building on the theoretical research in epidemiology and social sciences being carried out in the context of EARLY-ADAPT. More information is available here .



Project acknowledgments


We gratefully acknowledge funding from the European Union’s Horizon 2020 and Horizon Europe research and innovation programmes under grant agreements No 865564 (European Research Council Consolidator Grant EARLY-ADAPT), 101069213 (European Research Council Proof-of-Concept Grant HHS-EWS) and 101057131 (Research and Innovation Action CATALYSE); from the Ministry of Science, Innovation and Universities (MCIU) under grant agreement No RYC2018-025446-I (Programme Ramón y Cajal); and from FORMAS, the Swedish Research Council for Sustainable Development (Cross-Cutting Climate Adaptation - Challenges and Measures Grant ADATES).