Context And Mission
The Computational Biology group, led by ICREA professor Alfonso Valencia, is looking for a Postdoctoral Researcher to join a national-founded project on data analysis and modeling in epidemiology.
The researcher will be responsible to develop a framework for large-scale data analytics to monitor the COVID-19 pandemic in Spain based on geographical information and official statistics reports from public authorities.
The Computational Biology Group (), within the Life Sciences Department at the BSC, is involved in multiple projects covering several areas of precision medicine, systems biology, network science, and epidemiology.
In collaboration with Universidad Rovira y Virgili, the Group has been recently granted a project funded by the Generalitat to design and implement a computational framework to analyse and report on the dynamics of COVID-19 in Spain.
The geographical information system (GIS) is expected to integrate heterogeneous sources of geo-referenced data, including daily reported COVID-19 cases and mobile phone mobility data, to monitor the pandemic at country level and detect potential risk zones.
The Researcher will work in a highly sophisticated High-Performance Computing (HPC) environment, will have access to state-of-the-art systems and computational infrastructures, and will establish collaborations with both international and local experts in different areas of biomedical research.
In particular, the candidate will work in collaboration with senior researchers in the Group, the Universidad Rovira y Virgili, and the Spanish National Bioinformatics Institute (INB) coordination node.
Essential Knowledge and Professional Experience
Additional Knowledge and Professional Experience
Non-relational databases, in particular MongoDB
Geographical information systems and cartography
Epidemiological models and time series analysis