POSTDOC IN COMPUTATIONAL GENOMICS - FARABELLA LAB

Project.
“Investigating genome structural variability at the nanoscale”, Giovanni Armenise Harvard CDA 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 ) influences gene regulation with a strong focus on the role of RNAs in shaping such organization (Farabella et al.
Nat Struct Mol Bio ; Mendieta-Esteban et al., NAR genom.
bioinform., ; Morf et al.
Nat.
Biotechnol.
).
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.
For more information, visit.
https://ina.
it.
t/    This specific project will focus on developing new computational methods for analysing and interpreting multiplexed single-cell imaging, mainly point cloud chromatin tracing experiments.
The project’s overall objective 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 datasets (point cloud data).
Implementing algorithms for integration of chromatin tracing data generated in the lab and publicly available datasets with other multi-omic datasets.
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, ).
ESSENTIAL CRITERIA A PhD (or you are close to 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.
., GitHub) and/or container systems (e.
., 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 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.
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.
Please submit your application using the online form and including.
a detailed CV a brief cover letter (outlining motivation, experience, and qualifications) contact details of at least 2 referees.
For more information, directly contact Dr.
Irene Farabella.
We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia.
Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security.
Please also note that, pursuant to articles 15 et.
seq.
of European Regulation no.
(General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone Tel.
+ – email.
dpo[@]iit.
t – kindly note that this e-mail address is exclusively reserved for handling data protection issues.
Please, do not use this e-mail address to send any document and/or request of information about this opening).
Sede principale  GENOVA Lavoro  Postdoc Organizzazione  Integrative Nuclear Architecture Tagged as.
Computer Science, Data Science, Life Sciences, Mathematics, Physics