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PhD Student
PhD student in data science to study molecular mechanisms of human diseases Full-time NEW
Project
A predoctoral research contract is offered to carry out a PhD thesis focused on the development and application of computational methods for the analysis and integration of transcriptomic data obtained using single-cell RNAseq and spatial transcriptomics technologies, which enable the study of gene expression at cellular resolution.
The aim of the project is to advance the understanding of disease-specific molecular mechanisms in neuromuscular disorders. To this end, transcriptomic datasets will be generated to identify spatiotemporal patterns of gene expression associated with these diseases through the development and application of machine learning methods for data analysis and integration.
The thesis will be carried out in the Department of Engineering at Universidad Loyola (Sevilla, Spain) under the supervision of Dr. José A. Martínez-López, within the university’s own doctoral program in data science and in collaboration with the laboratory of Dr. Carmen Paradas at Hospital Universitario Virgen del Rocío/Instituto de Biomedicina de Sevilla (Sevilla, Spain).
Requirements
- Bachelor’s or Master’s degree in engineering, mathematics, biomedicine, biotechnology, or a related field.
- Master’s degree related to data science, bioinformatics, systems biology, artificial intelligence, or a similar area.
- Excellent written and oral communication skills.
- Curiosity, rigor, and a strong willingness to learn.
- Strong ability to work both independently and as part of a team, given the collaborative and interdisciplinary nature of the project.
Responsibilities
- Use and development of computational tools to analyze omics datasets.
- Presentation of results at meetings and conferences.
The position offers
- A 4-year contract (2 + 2).
- Professional development opportunities.
- Participation in national and international conferences.
- Flexible working hours.