Characterization of genetic and molecular risk factors for chronic degenerative diseases, for the study and design of personalized therapies

Position: Research appointment (pre-doc) Institute: Uni. Calabria
New! Posted on: 25/06/2026 Deadline: 06/07/2026

Scientific-Disciplinary Group

05/BIOS-14 - Genetics

Description

The research program aims to characterize genetic and molecular risk factors associated with chronic degenerative diseases, with particular emphasis on neurodegenerative diseases, in order to contribute to the development of precision medicine approaches and the design of personalized therapeutic strategies. The activity will involve the integrated analysis of genomic data from patients affected by chronic degenerative diseases, using bioinformatics pipelines for sequencing data processing. A significant portion of the program will involve the use of the R language and dedicated bioinformatics tools for the management, statistical analysis, and integration of genomic, clinical, and molecular data. The analyses will be aimed at identifying genetic and molecular markers associated with the risk of onset, progression, and phenotypic variability of chronic degenerative diseases.

Compensation

28 Euro

Number of positions

1

Maximum duration

12.0

Funding body

Università della Calabria

How to apply

Other

Selection process

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The selection process includes an evaluation of qualifications, including a bachelor's degree or a single-cycle degree in Biology (LM-6) or Biotechnology (LM-9), or related disciplines, or a foreign qualification recognized as equivalent, obtained no more than six years previously. The candidate's CV will also be evaluated for its suitability for the proposed research activities.An oral interview will cover the following topics: definition and application of pipelines for sequencing data processing; quality control, alignment, variant calling, variant annotation, and filtering; use of the R language for genomic data analysis and management; main platforms and tools for omics data analysis; integration strategies between genetic, molecular, and clinical data; validation of risk prediction models for the development of personalized precision medicine approaches; and knowledge of scientific English. a) relevance and congruence of the study program with the research program for which the assignment is made (maximum score of 20);b) relevance and relevance of previous research activities and any work experience in relation to the research program for which the assignment is made (maximum score of 25);c) relevance and relevance of the publications, theses, and other scientific products submitted with the assignment is made (maximum score of 25);d) oral interview to assess the candidate's aptitude and suitability for the research program for which the assignment is made, as well as to evaluate their knowledge of the English language (maximum score of 30).