IRB Barcelona is a self-standing, non-profit institution devoted to basic and applied biomedical research. It was set up in 2005 jointly by the Government of Catalonia and the University of Barcelona and is located at the Barcelona Science Park. The institute currently has more than 430 members (scientific, technical and administrative staff) from all over the world, who work across disciplines to advance research in the biomedical sciences.
Applications for the above opening should include a full C.V, a selection of 2-3 most important publications with a summary of candidate's contribution to each, contact information of at least two referees, and a Motivation Letter and should be sent by e-mail to: firstname.lastname@example.org with the Reference: PD/20/18
If no suitable candidate is found, the deadline will be extended.
IRB Barcelona is seeking a motivated Postdoctoral Fellow to work on the project entitled ‘Hypermutated tumors: insight into genome maintenance and cancer vulnerabilities provided by an extreme burden of somatic mutations — HYPER-INSIGHT’, funded by the European Research Council (ERC), under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 757700).
The project will explore mutagenic mechanisms causing structural variations (rearrangements) in the human genome, and their impact on cancer and inherited disease, with translational implications.
In particular, we are interested in how DNA damage that occurs in tumor cells and/or in the germline cells can result in mutations: copy number changes, other structural variation (translocations, inversions), and small indels. We are also interested in predicting whether such mutations cause disease. These questions will be addressed by large-scale computational analyses of human and/or mouse genomic data sets.
We will employ machine learning methodologies to characterize mutation patterns in DNA of patients and healthy controls, and statistically associate them with disease outcomes. We are very interested in applying deep learning approaches (such as recurrent neural networks or transformers) to analysis of rearranged DNA sequences.
The research will be performed in the Genome Data Science lab (https://agendas.irbbarcelona.org/), under supervision of ICREA professor and EMBO young investigator Fran Supek, in collaboration with the diverse, international team in the lab, which consists of genomics biologists, wet-lab biologists and mathematicians at the PhD and postdoc level.
Start date is flexible; fall or winter 2020/2021 is preferable. Informal inquiries can be directed to the PI at email@example.com. Early applications are encouraged.
Lindeboom, Vermeulen, Lehner and Supek (2019) Nature Genetics “The impact of nonsense-mediated mRNA decay on genetic disease, gene editing and cancer immunotherapy”
Mas-Ponte and Supek (2020) Nature Genetics, in press “DNA mismatch repair promotes APOBEC3-mediated diffuse hypermutation in human cancers”
Supek and Lehner. (2017) Cell. “Clustered Mutation Signatures Reveal that Error-Prone DNA Repair Targets Mutations to Active Genes”
Supek et al. (2014) Cell. “Synonymous mutations frequently act as driver mutations in human cancers”
- perform excellent research according to the high standards of the Supek lab and the IRB Barcelona
- learn various bioinformatics and machine learning techniques required to perform the research
- present at weekly lab meetings and journal clubs, at department seminars, and conference
- collaborate with other members of the host lab to facilitate progress on the project
Must Have – Required