Postdoc in Computational Imaging Genomics

**Postdoc in computational imaging genomics (data science)**
- (24000032)
- Project: “Investigating genome structural variability at the nanoscale”, Giovanni Armenise Harvard CDA 2022_
- Commitment & contract: Post Doc 1 year collaboration contract, renewable_
- Location: Center for Human Technologies - Genoa_
- Salary range: 30k - 35k euro_

**WHO WE ARE**
- At IIT we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times and transfer these technologies to the production system and society. Our Genoa headquarter is strictly inter-connected with our 11 centers around Italy and two outer-stations based in the US for a truly interdisciplinary experience.

**YOUR TEAM**

The _Integrative Nuclear Architecture _research unit is coordinated by Dr. Irene Farabella (Armenise-Harvard CDA), who has extensive experience in integrative modelling, imagining data analysis and 3D genomics.

You will be working in a multicultural and multi-disciplinary group, where computational and experimental researcher collaborate, each with their own expertise, to advance our knowledge in how the human genome is organized and regulated. Specifically, the overall goal of the lab is to understand how 3D genome organization plasticity (_Nir, Farabella, et al. PlosGen 2018_) influence gene regulation with a strong focus on the role of RNAs in shaping such organization (_Farabella et al. Nat Struct Mol Bio 2021; Mendieta-Esteban et al., NAR genom._ _bioinform_., 2021; Morf et al. Nat. Biotechnol. 2019_). The _Integrative Nuclear Architecture _research unit is an active member of the FANTOM6 and of the Centers of Excellence in Genomic Science-Center of Genome Imaging collaborative projects, placing the lab at the forefront of scientific innovation.
- This specific project will focus on developing new computational methods for the analysis and interpretation of multiplexed single-cell imaging, mainly points clouds chromatin tracing experiments. The overall objective of the project is to implement new means to measure and predict genome folding patterns using a combination of data modelling, optimization, and machine learning techniques.
- Within the team, your main responsibilities will be:

- Developing tools for the high-throughput detection, analysis, and quantification of large single-cell chromatin tracing dataset (point clouds data).
- Implementing algorithms for integration of chromatin tracing data generated in the lab and publicly available datasets with other multi-omic dataset.
- Working in a highly 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.
- We expect all code produced in this project to be developed in Python, released as fully open source, and made publicly available to the research community.
- This open position is fully funded by the Giovanni Armenise Harvard Foundation within the project: “Investigating genome structural variability at the nanoscale” (Career Development Award, 2022).

**ESSENTIAL CRITERIA**
- A PhD (or you are close of finishing your PhD) in_ _Computational Biology or _related disciplines_, including Mathematics, Bioinformatics, Statistics, Biology, Biotechnology, Physics, Computer Science, and similar disciplines.
- Documented experience in data analysis, statistics, and/or machine learning.
- The ability to properly report, organize and publish research data.
- Fluency in oral and written English

**DESIRABLE CRITERIA**
- Experience in method development, programming (Python) and scripting abilities are highly desirable**.**:

- Experience in any of the following: bulk “omics” data analysis, image processing and analysis, data-driven modelling and optimization.
- Knowledge of version control systems (e.g., GitHub) and/or container systems (e.g., Docker, Singularity)
- Possession of a sense of scientific curiosity, be capable of mastering new computational methods, be interested in method development.
- Good communication skills.
- Strong problem-solving attitude.
- Experience working in a team-oriented environment.
- Able to work independently and collaboratively in a highly interdisciplinary environment.

**SALARY & BENEFITS**
- Private health care coverage
- Wide range of staff discounts

**WHAT’S IN IT FOR YOU?**
- an equal, inclusive, and multicultural environment, where applicants are welcome regardless of age, disability, gender, nationality, ethnicity, religion, sexual orientation, or gender identity.
- work in a collaborative and interdisciplinary research environment which fosters scientific independence and innovation.
- A specialized team working to help you with paperwork, especially during your relocation.
- **a detailed CV**
- **a brief cover letter (outlining motivation, experience, and qualifications)***
- **contact details of at