Sr. Bioinformatician/Bioinformatician, Bienko Group, ERC Consolidator Grant
1 giorno fa
Milano, Lombardia, Italia
Human Technopole
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p3 days ago Be among the first 25 applicants /ppGet AI-powered advice on this job and more exclusive features. /ppstronguAPPLICATION CLOSING DATE: September 15th, 2025 /u /strong /ppstrongApplication Instructions /strong /ppstrongTo apply, please forward a single document containing: /strong /pulliAn updated CV. /liliA 1-page motivation letter in English relating your track record to the specifics of the call. /liliNames and contacts of 2 referees. /li /ulpThe strongHuman Technopole Foundation /strong (strongHT /strong) is an interdisciplinary research institute, created and supported by the Italian government, whose aim is to develop innovative strategies to promote human health and healthy aging through a multidisciplinary and integrated approach, combining genomics, computational biology, structural biology, neuroscience and health data science. HT scientists work together to enable interdisciplinary research and to create an open, collaborative environment to help promote life science research nationally and internationally. In line with its mission to serve the research community at large, HT operates National Facilities, specifically aimed at making HT’s technologies, methods and tools available to the national scientific community. /ppstrongAbout the lab: /strong /ppThe Bienko Group at HT ( focuses on understanding the fundamental principles that regulate how chromatin is spatially organized in the nucleus of mammalian cells. The group also studies how the three-dimensional (3D) genome structure is affected by complex genomic rearrangements, such as those commonly encountered in human cancers. /ppThe group is now inviting outstanding candidates with expertise in NGS bioinformatics and a strong interest in 3D genome biology and cancer genomics, to apply for a position as a strongBioinformatician/Sr. Bioinformatician /strong. /ppstrongKey tasks and
responsibilities:
/strong /ppThe successful candidate will work in an international and interdisciplinary team, applying state-of-the-art computational tools to stronginvestigate how complex genomic rearrangements rewire the 3D genome structure and, in turn, affect gene expression /strong. /ppTo this end, the successful candidate will analyse a large amount of sequencing datasets that are being generated in the Bienko Lab by applying a variety of omic assays to map the 3D genome, breakome, epigenome, and transcriptome of cells engineered in vitro to harbour chromosomal translocations and other genomic rearrangements, as well as of patient-derived tumor specimens. /ppNGS assays routinely deployed in the Bienko Lab include: (i) whole-genome sequencing (WGS, both short
- and long-read); (ii) Hi-C (both bulk and single-cell); (iii) GPSeq, a method previously developed in the Bienko to probe the radial arrangement of chromatin in the cell nucleus (see (iv) full-length RNA-seq; (v) CUTRUN; (vi) BLISS, another method previously developed in the Bienko Lab, which maps DNA double-strand breaks (DSBs) genome wide (see /ppSpecific tasks include: /pulliImplement, maintain, and apply state-of-the-art pipelines and software for: (i) processing Hi-C, WGS (both short and long-read), RNA-seq, CUTTag, and BLISS data; (ii) calling somatic copy number alterations (SCNAs) and structural variants (SVs) by integrating WGS and Hi-C data; (iii) calling A/B compartments, TADs, and chromatin loops from Hi-C data; (iv) peak calling from CUTTag data; (v) gene expression quantification, transcript isoform mapping, gene set enrichment, etc; (vi) multi-omic data integration, including comparison with publically available datasets (e.g., from ENCODE, TCGA, PCWGA). /liliMaintaining and updating the lab’s GitHub repositories. /liliUse rigorous statistical methods to study the relationship between linear genome sequence, 3D genome structure, epigenome, and transcriptome. /liliPropose and implement innovative ways of analysing and/or visualizing the available rich datasets. /liliCurate the deposition of the datasets in public repositories, such as ENA or SRA. /liliWork closely with the experimentalists in the group who generate the data analysed, advising on experimental design, providing feedback on data quality, and offering internal workshops to explain the analytical tools used and the obtained results. /liliProducing plots for and participate in writing manuscripts describing the results of the analyses performed by the candidate. /li /ulpstrongSee previous work on the research topics of this call: /strong /ppHere’s a list of sequencing methods that we have developed over the years: /ppstrongscCircle-seq: /strong /ppstrongscCUTseq: /strong /ppstrongGPSeq /strong: /ppstrongBLISS /strong: /ppstrongCUTseq /strong: /ppstrongJob requirements /strong /ppOn the closing date for online applications, the candidate must fulfil all the following
conditions:
/pulliM.
Sc. degree in Quantitative Biology, Biotechnology, Bioengineering, Genomic Sciences, or equivalent. Candidates with M.
Sc. degree in Comput
responsibilities:
/strong /ppThe successful candidate will work in an international and interdisciplinary team, applying state-of-the-art computational tools to stronginvestigate how complex genomic rearrangements rewire the 3D genome structure and, in turn, affect gene expression /strong. /ppTo this end, the successful candidate will analyse a large amount of sequencing datasets that are being generated in the Bienko Lab by applying a variety of omic assays to map the 3D genome, breakome, epigenome, and transcriptome of cells engineered in vitro to harbour chromosomal translocations and other genomic rearrangements, as well as of patient-derived tumor specimens. /ppNGS assays routinely deployed in the Bienko Lab include: (i) whole-genome sequencing (WGS, both short
- and long-read); (ii) Hi-C (both bulk and single-cell); (iii) GPSeq, a method previously developed in the Bienko to probe the radial arrangement of chromatin in the cell nucleus (see (iv) full-length RNA-seq; (v) CUTRUN; (vi) BLISS, another method previously developed in the Bienko Lab, which maps DNA double-strand breaks (DSBs) genome wide (see /ppSpecific tasks include: /pulliImplement, maintain, and apply state-of-the-art pipelines and software for: (i) processing Hi-C, WGS (both short and long-read), RNA-seq, CUTTag, and BLISS data; (ii) calling somatic copy number alterations (SCNAs) and structural variants (SVs) by integrating WGS and Hi-C data; (iii) calling A/B compartments, TADs, and chromatin loops from Hi-C data; (iv) peak calling from CUTTag data; (v) gene expression quantification, transcript isoform mapping, gene set enrichment, etc; (vi) multi-omic data integration, including comparison with publically available datasets (e.g., from ENCODE, TCGA, PCWGA). /liliMaintaining and updating the lab’s GitHub repositories. /liliUse rigorous statistical methods to study the relationship between linear genome sequence, 3D genome structure, epigenome, and transcriptome. /liliPropose and implement innovative ways of analysing and/or visualizing the available rich datasets. /liliCurate the deposition of the datasets in public repositories, such as ENA or SRA. /liliWork closely with the experimentalists in the group who generate the data analysed, advising on experimental design, providing feedback on data quality, and offering internal workshops to explain the analytical tools used and the obtained results. /liliProducing plots for and participate in writing manuscripts describing the results of the analyses performed by the candidate. /li /ulpstrongSee previous work on the research topics of this call: /strong /ppHere’s a list of sequencing methods that we have developed over the years: /ppstrongscCircle-seq: /strong /ppstrongscCUTseq: /strong /ppstrongGPSeq /strong: /ppstrongBLISS /strong: /ppstrongCUTseq /strong: /ppstrongJob requirements /strong /ppOn the closing date for online applications, the candidate must fulfil all the following
conditions:
/pulliM.
Sc. degree in Quantitative Biology, Biotechnology, Bioengineering, Genomic Sciences, or equivalent. Candidates with M.
Sc. degree in Comput