Istituto Italiano di Tecnologia

Postdoc in Genomic Data Science

Italy

Commitment & contract: Post Doc 1 year collaboration contract, renewable

Location: Centre for Human Technologies – Genoa

At the Italian Institute of Technology (IIT), we are committed to advancing human-centred science and technology to address our era's most pressing challenges. We foster excellence in fundamental and applied research in diverse fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. Our approach integrates cutting-edge tools and technology, empowering researchers to push the limits of knowledge and innovation.

We provide equal employment opportunities and foster diversity in all its forms, creating an inclusive environment. We value the unique experiences, knowledge, backgrounds, cultures, and perspectives of our people. By embracing diversity, we believe science can achieve its fullest potential.

THE ROLE

You will work in a multicultural and multi-disciplinary group where computational and experimental researchers collaborate to carry out a scientific activity with a shared research goal.

The Armenise-Harvard Integrative Nuclear Architecture (INA) Research Unit is coordinated by Dr. Irene Farabella. Our work focuses on developing tools to integrate multiplexed genome imaging techniques, genomic data, structural bioinformatics, and physical theories to unravel the 3D genome organisation at single-cell and how multiple components of the nucleus (as non-coding elements) influence gene regulation across scales. Our lab is an active member of the FANTOM6 and of the Centres of Excellence in Genomic Science-Centre of Genome Imaging collaborative projects, placing us at the forefront of scientific innovation.

Within the research team, your main responsibilities will be:

  • Leverage advanced optimisation methods and machine learning methods to integrate multiplexed single-cell imaging and multi-omics data to dissect how non-coding elements influence the 3D genome.
  • Develop and apply computational tools to quantify and characterise 3D genome fold patterns.
  • Analyses and interprets large-scale imaging genomic data from our lab and collaborators.
  • Contribute to open-source research by making code and findings publicly available.

ESSENTIAL REQUIREMENTS

  • A PhD (or near completion) in Computational Biology, Mathematics, Bioinformatics, Statistics, Biology, Biotechnology, Engineering, Physics, Computer Science, and related disciplines.
  • Documented experience in data analysis, statistics, and/or machine learning.
  • The ability to properly report, organise and publish research data.
  • Ability/willingness to integrate within a multidisciplinary research group.
  • Fluency in spoken and written English.

ADDITIONAL SKILLS

  • Proficiency in programming for data science (Python preferred).
  • Experience in any of the following: “omics” data analysis (as Hic, RNA-seq, ChIP-seq, CUT&Tag), image processing and analysis, data-driven modelling, or optimisation.
  • Knowledge of version control systems (e.g., GitHub), container systems (e.g., Docker, Singularity), and/or workflow systems (i.e., Nextflow, Snakemake).
  • We expect all code produced in this project to be released as fully open source and made publicly available to the research community.

ORGANISATIONAL AND PERSONAL SKILLS

  • Strong problem-solving, analytical reasoning skills, and organisational abilities.
  • Strong collaborative attitude and ability to work in teams with colleagues of heterogeneous scientific backgrounds.
  • Capacity to work independently and collaboratively in a highly interdisciplinary environment.
  • High motivation to learn.
  • Strong collaborative spirit, interacting with and supporting the other group members and the collaborators.
  • Publishing reproducible research in international conferences and in high-impact, open-access journals.

SALARY & BENEFITS

  • a yearly gross salary up to 45k, which may include a bonus option depending on your role and contract
  • Private health care coverage.
  • Wide range of staff discounts.
  •  A specialised team working to help you with paperwork, especially during your relocation.
  • Candidates from abroad or Italian citizens who permanently work abroad and meet specific requirements may be entitled to a deduction from taxable income of up to 90% from 6 to 13 years.

Please submit your application using the online form and including:

  1. a detailed CV
  2. a brief cover letter (outlining motivation, experience, and qualifications) addressed to Dr. Irene Farabella
  3. contact details of at least 2 referees.

The position is in-person and based in Genoa. For any inquiry about the call, please feel free to contact Dr. Irene Farabella.

Application deadline: 30 April 2025 

To discover more about life at IIT, visit the dedicated section here: https://www.iit.it/en/work-at-iit

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