Computational Scientist in the group Evolutionary Processes Modeling

Center for Genomic Regulation
Cataluña
hace 2 semanas

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 flexible 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

We are seeking a highly motivated postgraduate researcher to join the Evolutionary Processes Modeling group. Our research combines computational analysis of DNA sequencing data with population genetics theory and statistical modeling to investigate mutational mechanisms and selective forces in cancer and across the phylogenetic tree.

The successful candidate will be involved in data analysis, the development of probabilistic models to characterize mutation patterns in tumor sequencing data, the design of computational pipelines and the testing of biological hypotheses. Prior experience with machine learning techniques is a plus.

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 according to their relevance to disease, ultimately guiding therapeutic development.

Beyond cancer, we are also interested in studying mutation rates and selection in the context of human germline variation. This includes analysis of both polymorphisms (Nature Genetics, 2017; Molecular Biology and Evolution, 2019) and de novo mutations (Nature Communications, 2020). Our work recently led to the discovery of a hypermutation phenomenon near transcription start sites (bioRxiv, 2025_2). A major focus of our group is characterizing purifying selection in humans and across species, while accounting for both mutation mechanisms and genetic drift.

The Evolutionary Processes Modeling lab was established in October 2018 and is part of the “Computational Biology and Health Genomics” program at the CRG. Further information can be found on the Weghorn Lab website and at www.crg.eu/en/programmes-groups/weghorn-lab.

Whom would we like to hire?

Professional experience

  • You have experience with computer programming

  • You have experience with data analysis, data modeling and/or statistics

  • Experience with machine learning is a plus

Education and training

  • You have a master's or PhD degree in mathematics, physics, computer science, bioinformatics or a related discipline

Languages

  • You are fluent in English

Technical skills

  • You must be able to program in python or a similar language

Competences

  • You can think analytically

  • You have highly developed organization skills

  • You have good communication skills

The Offer – Working Conditions

  • Contract duration: Technical and scientific activities contract (estimated duration 2 years).

  • Estimated annual gross salary: Salary is commensurate with qualifications and consistent with our pay scales.

  • Target start date: September 15th, 2025.

We provide a highly stimulating environment with state-of-the-art infrastructure and unique professional career development opportunities. To check out our training and development portfolio, please visit our website in the training section.

We offer and promote a diverse and inclusive environment and welcome applicants regardless of age, disability, gender, nationality, ethnicity, religion, sexual orientation or gender identity.

The CRG is committed to reconcile a work and family life of its employees and is offering extended vacation periods and the possibility to benefit from flexible working hours.

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