Postdoc in Computational Mrna Biology - Milano, Italia - Human Technopole

Human Technopole

Azienda verificata

Milano, Italia

3 settimane fa

Inviato da:

Piero Bianchi

Reclutatore di talenti per beBee

Descrizione

APPLICATION CLOSING DATE:
15/03/2023

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.

The Human Technopole Foundation is looking for a
Postdoc in Computational mRNA Biology.

The position will be an appointment in the Functional Genomics Research Centre and supervised by Dr. Lorenzo Calviello.

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.

Key tasks and responsibilities:

Develop machine learning models for the highresolution analysis of functional transcriptomics datasets.
Perform _in silico _experiments to stress model capabilities in capturing relevant signals under different perturbations.
Write wellannotated, 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.

Mandatory requirements:

A PhD degree in Computational Biology or related discipline, with a focus on quantitative analysis methods.
Proven track record of research in Computational Biology, Functional Genomics and/or Machine Learning.
Background in statistical learning methods, with a focus on interpretable models.
Strong programming skills in R (Bioconductor) and/or Python.

Additional requirements:

Knowledge of next generation library preparation techniques.
Previous experience with analysis of multiple RNAseq technologies.
Experience in developing documented computational tools for omics data.
Familiarity with time series analysis and AI approaches (e.g. Natural Language Processing).

Desired personal skills:

Ability to work independently.
Willingness to frequently and openly discuss results and ideas, highlighting controls and potential pitfalls, using concise and clear presentations.
Fluency in English (HT is an international research institute).
Motivation to interact lively with colleagues in the lab, other departments, and the larger scientific community in various events (journal clubs, lab meetings, seminars, hackathons, international conferences, etc.).
Strong communication skills and respect for their own and other colleagues' work, towards fostering a transparent, collaborative, stimulating, and welcoming scientific environment.
Willingness in identifying thirdparty funding sources, towards promoting growth into full academic independence.

Application
instructions:

Additional information:

HT offers a highly collaborative, international and diverse work environment. The working language is English.

HT will foster top quality, interdisciplinary research by promoting a vibrant environment consisting of independent research groups that will attract outstanding graduate students and postdoctoral fellows.

HT scientists will have full access to cutting-edge Core Facilities.

HT is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to a leading, internationally competitive research organization.

HT seeks to promote a collegial and family-friendly atmosphere.

The remuneration package comprises a competitive salary, a comprehensive pension scheme, medical and other social benefits, as well as financial support for relocation and installation, including the family.

Researchers coming to Italy for the first time, or returning after residing abroad, benefit from very attractive income tax benefits.

**Contract offered: CCNL Chimico Farmaceutico, Employee level, contract duration 4 years fixed term.