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HomeUK JobPostdoc in Computational mRNA Biology, Calviello Group

Postdoc in Computational mRNA Biology, Calviello Group

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Human Technopole (HT) is a new interdisciplinary life science research institute, created and supported by the Italian Government, with the aim of developing innovative strategies to improve human health. HT is composed of five Centers: Computational Biology, Structural Biology, Genomics, Neurogenomics and Health Data Science. The Centers work together to enable interdisciplinary research and to create an open, collaborative environment that will help promote life science research both nationally and internationally.

HT is looking for a Postdoc in Computational mRNA Biology, to be appointed in the Genomics Research Centre under the supervision of the Group Leader Dr. Lorenzo Calviello.

About the lab:

The Calviello Lab is a hybrid computational/experimental research group interested in post-transcriptional gene regulation at -omics scale, with a focus on translation and its many connections to mRNA and proteome dynamics (if you are curious discover more here: Integrative -omics in mRNA biology (

See previous work on the research topics of this call :

Calviello et al, Nature Methods 2015

Calviello & Ohler, Trends in Genetics 2017

Calviello et al, Nucleic Acid Research 2021

The recruited postdoc will work large scale analysis of -omics datasets profiling molecular processes at single-nucleotide resolution (e.g. Ribo-seq, CLIP-seq), and develop innovative computational methods to unbiasedly identify the features predictive of different regulatory steps in the gene expression cascade, towards a quantitative, data-driven understanding of molecular processes and accurate applications in personalized medicine.

The successful candidate will be supported by a world-class environment with international leaders in advanced analytics and cutting-edge -omics technologies, and will apply state-of-the art computational methods to targeted questions in functional genomics and mRNA biology. They will work in collaboration with all team members in the Calviello Lab and in the Genomics Centre in tight collaboration with the Computational Biology Centre. Collaborations and interactions within the HT campus and beyond are highly encouraged, to develop independent research projects and prepare for a successful future in interdisciplinary science.

On campus, an advanced training program on research and transferable skills provides plenty of opportunities for personal and professional growth.


Key tasks and responsibilities:

  • Develop machine learning models for the high-resolution analysis of functional transcriptomics datasets.
  • Perform in silico experiments to stress model capabilities in capturing relevant signals under different perturbations.
  • Write well-annotated, reproducible code, employing essential tools in computational research, such as version control and dynamic reporting (e.g. git, Jupyter notebooks, Rmarkdown).
  • Communicate results to the larger scientific community in the form of scientific manuscripts and conference presentations, with clearly documented methods, results and visualizations.

Click Here to Apply For The Job



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