Senior Genomic Research Scientist Position in Evolutionary Processes Modeling

hace 1 mes


Barcelona, Barcelona, España Center For Genomic Regulation A tiempo completo

The Center for Genomic Regulation (CRG) is an international biomedical research institute of excellence based in Barcelona, Spain. We are seeking a highly motivated postdoctoral researcher to join our 'Evolutionary Processes Modeling' group.

Our team uses computational analysis of sequencing data together with population genetics predictions and statistical modeling to understand mutational processes and selective pressures in cancer cells and the human population. The ideal candidate should be highly motivated and eager to work on evolutionary and biological problems through the use of computational and statistical approaches.

We analyze data, develop models for tumor DNA sequencing data, develop computational pipelines, and test biological hypotheses. Our goal is to estimate mutation rates, tumor growth dynamics, and selection, which allows us to learn about carcinogenic mutagens and study the spatial genetic heterogeneity of tumors.

We are also interested in mutation rates and selection inference in the context of human genetic variation, including polymorphisms and de novo variants. A particular focus lies on the description of purifying selection in humans and across species, accounting for mutational processes and genetic drift.

This position is part of the 'Computational Biology and Health Genomics' program at the CRG. The successful candidate will have the opportunity to work in a highly stimulating environment with state-of-the-art infrastructure and unique professional career development opportunities.

We offer a competitive salary commensurate with qualifications, estimated annual gross salary: **€46,500**. We provide extended vacation periods, flexible working hours, and promote a diverse and inclusive environment. We welcome applicants regardless of age, disability, gender, nationality, ethnicity, religion, sexual orientation, or gender identity.

We expect the successful candidate to hold a PhD degree in population genetics, physics, statistics, bioinformatics, or a related discipline. Familiarity with computer programming, experience with modeling, statistical analysis, and/or machine learning, as well as experience with DNA- or RNA-sequencing data analysis, are essential. Fluency in English is required.


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