About this position
We are seeking a motivated and skilled bioinformatician to join the research group of Prof. Enrico Tiacci at the Institute of Hematology and Center for Hemato-Oncology Research in the University and Hospital of Perugia, Italy.
The focus of Prof. Tiacci's group is to clarify through genomics analyses the pathogenesis of human lymphomas and leukemias (in particular Hodgkin lymphoma and hairy cell leukemia), and to translate this knowledge in the clinic by developing new precision diagnostic and therapeutic tools (as exemplified by recent publications in top journals, e.g. Tiacci et al., NEJM 2011; Tiacci et al, Blood 2012; Tiacci et al., NEJM 2015; Pettirossi et al., Blood 2015; Tiacci et al., JCO 2017; Tiacci et al., Blood 2018; Tiacci et al, NEJM 2018; Tiacci et al, NEJM 2021; Venanzi, …, and Tiacci. Blood Cancer Discov 2021; Tiacci et al., NEJM 2023; Falini and Tiacci, NEJM 2024; Santi, …, and Tiacci, NEJM 2025).
Prof. Tiacci's group is located in the new Center for Hemato-Oncology Research, a large building with outstanding design, state-of-the-art laboratories and technology platforms that is strategically located next to the Institute of Hematology, a major tertiary care academic hematological clinic in central Italy acting as a reference center also for other parts of the country and from abroad. The project will be carried out in a stimulating biology- and molecular medicine-oriented research environment shared with multiple principal investigators capable of attracting several important international grants, including from the European Research Council and the Leukemia & Lymphoma society. All equipment needed for state-of-the art genomic, cellular and molecular investigations is available and accessible within the building, as are key core facilities including deep sequencing, flow cytometry cell sorting and hematopathology.
The candidate should be an enthusiastic, creative, proactive, problem-solving person with a strong background in bioinformatics and previous experience with next-generation sequencing (NGS) , ideally in cancer genetics. In particular, familiarity with the analysis of whole-exome/whole-genome sequencing data from tumor verus normal paired DNA, as well as of data generated with RNA-seq, ChIP-seq, CUT&RUN-seq, ATAC-seq, HiC-seq, would be a plus.
The candidate should have a PhD or equivalent research experience in bioinformatics, computational biology or related subjects; should be familiar with state-of-the-art NGS tools, algorithms and pipelines for processing and interpreting omic-seq data sets, with Unix/Linux operating systems, with RAID and server systems; should have good scripting/programming skills (R, Python, Bash, Next-Flow, etc.); and should have a good command of English.
The candidate should apply by email ( enrico.tiacci@unipg.it ) with a cover letter describing his/her career goals and explaining why he/she is the ideal candidate for this position, a detailed CV, and 2-3 letters of reference or contact details of 2-3 referees.
Type of contract: Post-doctoral research fellowship, full-time (40 hours/week). The stipend is variable based on expertise and track record.
Applications will be reviewed on a rolling basis, with the call remaining open until (or being closed as soon as) the position is filled.
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