Bioinformatics Scientist

APPLICATION CLOSING DATE: September 15th, 2025 A 1-page motivation letter in English relating your track record to the specifics of the call. The Human Technopole Foundation ( HT ) 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. About the lab: 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. The 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 Bioinformatician/Sr. Bioinformatician . The successful candidate will work in an international and interdisciplinary team, applying state-of-the-art computational tools to investigate how complex genomic rearrangements rewire the 3D genome structure and, in turn, affect gene expression . To 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. NGS assays routinely deployed in the Bienko Lab include: (ii) Hi-C (both bulk and single-cell); (v) CUT&RUN; (vi) BLISS, another method previously developed in the Bienko Lab, which maps DNA double-strand breaks (DSBs) genome wide (see Implement, maintain, and apply state-of-the-art pipelines and software for: (i) processing Hi-C, WGS (both short and long-read), RNA-seq, CUT&Tag, 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 CUT&Tag data; (vi) multi-omic data integration, including comparison with publically available datasets (e.
Maintaining and updating the lab’s GitHub repositories. Use rigorous statistical methods to study the relationship between linear genome sequence, 3D genome structure, epigenome, and transcriptome. Propose and implement innovative ways of analysing and/or visualizing the available rich datasets. Curate the deposition of the datasets in public repositories, such as ENA or SRA. Work 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. Producing plots for and participate in writing manuscripts describing the results of the analyses performed by the candidate. See previous work on the research topics of this call: Sc. degree in Quantitative Biology, Biotechnology, Bioengineering, Genomic Sciences, or equivalent. Sc. degree in Computer Science, Mathematics or Physics and a genuine interest in learning biology and working on challenging biological problems are also welcome to apply. Fluency in at least one of the following programming languages: Bash, Python or R. they are strong team players, enjoy brainstorming new ideas and discussing solutions to a challenging problem with others. Willingness to work alongside experimentalists who do not necessarily have a strong background in bioinformatics and statistics, providing an explanation of the computational methods used and analytical results obtained that can be understood by them. Fluency in oral and written English. Candidates who have previously worked on the analysis of data produced with one or more of the following methods (as documented in a published paper or M.
Hi-C (and derivatives); CUT&RUN/CUT&Tag; Why Human Technopole: HT seeks scientific excellence, we recruit the best scientific talents through international, open calls. Our working environment is international, friendly, and inclusive. Our scientists work together across disciplines on research topics of biomedical relevance, leveraging synergies between their diverse skillsets and methodological approaches. We believe that highly diverse teams yield the best and most innovative results. We engage in outward-facing scientific activiti