Sr. Bioinformatician/Bioinformatician, Bienko Group, ERC Consolidator Grant (RADIALIS project)

Human Technopole

Milano

In loco

EUR 43.200 - 52.800

Tempo pieno

14 giorni+

Generatore di candidature

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Vantaggi offerti da questo lavoro

Work-life balance provisions

Italian language training for foreigners

Parental leave support

Support for relocation

Descrizione del lavoro

A leading research institute in Milan seeks a Bioinformatician to analyze 3D genome structures using innovative computational tools. The candidate will collaborate with an interdisciplinary team and contribute to significant research in cancer genomics and bioinformatics. A competitive salary up to €48k is offered, with a supportive work environment that emphasizes scientific excellence and work-life balance.

Competenze

M.Sc. degree in relevant field.
Fluency in programming languages required.
Strong collaborative attitude essential.

Mansioni

Apply computational tools to analyze genomic data.
Implement and maintain data analysis pipelines.
Work closely with experimentalists for data generation.

Conoscenze

Problem-solving

Team collaboration

Programming (Bash, Python, R)

Formazione

M.Sc. degree in Quantitative Biology or related fields

Strumenti

Hi-C

ChIP-seq

RNA-seq

Descrizione del lavoro

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APPLICATION CLOSING DATE: September 15th, 2025

Application Instructions

To apply, please forward a single document containing:

An updated CV.
A 1-page motivation letter in English relating your track record to the specifics of the call.
Names and contacts of 2 referees.

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 Bienko Group at HT (https://humantechnopole.it/en/research-groups/bienko-group/) 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.

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.

Key tasks and responsibilities:

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: (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 https://www.nature.com/articles/s41587-020-0519-y); (iv) full-length RNA-seq; (v) CUT&RUN; (vi) BLISS, another method previously developed in the Bienko Lab, which maps DNA double-strand breaks (DSBs) genome wide (see https://www.nature.com/articles/s41596-020-0397-2).

Specific tasks include:

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; (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).
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:

Here’s a list of sequencing methods that we have developed over the years:

scCircle-seq: https://doi.org/10.21203/rs.3.rs-2617401/v1

scCUTseq: https://doi.org/10.1101/2023.11.07.566123

GPSeq: https://www.nature.com/articles/s41587-020-0519-y

BLISS: https://www.nature.com/articles/s41596-020-0397-2

CUTseq: https://www.nature.com/articles/s41467-019-12570-2

Job requirements

On the closing date for online applications, the candidate must fulfil all the following conditions:

M.Sc. degree in Quantitative Biology, Biotechnology, Bioengineering, Genomic Sciences, or equivalent. Candidates with M.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.
Problem-solving and forward-looking personality, i.e., they are motivated to solve challenging problems even if this requires extensive troubleshooting and often revising the original plan.
Strong collaborative attitude, i.e., 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.

Preferential requirements:

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.Sc. thesis) will be given high priority: Hi-C (and derivatives); ChIP-seq; CUT&RUN/CUT&Tag; ATAC-seq; (sc)RNA-seq; WGS/WES.

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 activities aimed at benefiting the national and international research community. Training is also at the heart of our activity, with initiatives and opportunities for our staff, including scientific courses, conferences, and workshops.

Work-life balance provisions.
Italian language training for foreigners.
Parental leave up to 1 year and other support for new parents.
Support for relocation.
Researchers coming to Italy for the first time, or returning after residing abroad, benefit from very attractive income tax benefits.

Special consideration will be given to candidates who are part of the protected categories list, according to L. 68/99.

Number of positions offered: 1

Salary range: up to 48k, depending on the seniority of the candidate.

Contract offered: CCNL Chimico Farmaceutico, Fixed-term 3 years - employee level.

The position is based in Milan.

Funded by the European Union (ERC, RADIALIS, GA n. 101088408)

Seniority level