Bioinformatician in The Group Evolutionary Processes Modeling (Barcelona)

Bioinformatician in The Group Evolutionary Processes Modeling (Barcelona)

12 sep
|
Center For Genomic Regulation
|
Barcelona

12 sep

Center For Genomic Regulation

Barcelona

The Institute

The Centre for Genomic Regulation (CRG) is an international biomedical research institute of excellence, based in Barcelona, Spain, with more than 400 scientists from 44 countries. The CRG is composed of an interdisciplinary, motivated and creative scientific team which is supported both by a versátil and efficient administration and by high-end and innovative technologies.

In April 2021, the Centre for Genomic Regulation (CRG) received the renewal of the 'HR Excellence in Research' Award from the European Commission. This is a recognition of the Institute's commitment to developing an HR Strategy for Researchers, designed to bring the practices and procedures in line with the principles of the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers.

Please, check out our Recruitment Policy

The role

About the group

Cancer is a genetic disease, shaped by evolutionary forces such as mutation, natural selection and random genetic drift.



Our research focuses on understanding how the evolution and persistence of cancer cell populations are influenced by the influx of mutations and by selective pressures, as inferred from mutation data. To address these questions, we develop mathematical and computational approaches to estimate mutation probabilities and selection.

Tumor mutations are caused by diverse mutational processes, which can be identified through DNA sequencing data (bioRxiv, 2023, bioRxiv, 2025_1). Although most mutations are neutral and do not contribute to tumor development, they can provide insights into tumor growth dynamics (eLife, 2024). Among the functionally relevant mutations, tumors not only exhibit positively selected driver mutations (Nature Genetics, 2020), but there also exists a small fraction of mutations that tumors cannot tolerate without compromising their viability (Nature Genetics, 2017). Quantifying the strength of selection helps prioritize both coding and non-coding genomic regions

📌 Bioinformatician in The Group Evolutionary Processes Modeling (Barcelona)
🏢 Center For Genomic Regulation
📍 Barcelona

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