Predoctoral researcher R1

Doctorat / PhD Profil chercheur : First Stage Researcher (R1) Type de contrat : Temporary Date limite de candidature : 19 Nov 2026 - 12:00 (Europe/Madrid) Date de début : 1 Feb 2027 Programme UE : Horizon Europe - ERC Référence : 101268299 Domaine : Biological sciences » Other

Job description (function and tasks): We are looking for a predoctoral researcher to join the team of the ERC Advanced Grant MORPHEUS project, contributing to the integration of multi-omic data and the development of computational tools to guide the personalized selection of therapeutic strategies. The main responsibilities will include data analysis and integration, as well as the development and validation of computational models and machine learning algorithms for biomarker identification and tumor stratification. The successful candidate will also contribute to ensuring data quality, reproducibility, and appropriate data management in accordance with FAIR principles. The candidate will also be expected to contribute effectively to the research activities of the project and to work in accordance with the scientific standards and working practices of a research project funded by the European Research Council. Basic requirements of the position: The candidate must hold MSc degree in Bioinformatics, Computational Biology, Biostatistics, or a related discipline. High level of English, both spoken and written. Experience required: Knowledge of applied statistics, exploratory data analysis, and omics data analysis, particularly transcriptomics, metabolomics, and lipidomics. Familiarity with tumor sample analysis and histopathological data, including immunohistochemistry and gene expression analysis by qRT-PCR.

Job description (function and tasks):

We are looking for a predoctoral researcher to join the team of the ERC Advanced Grant MORPHEUS project, contributing to the integration of multi-omic data and the development of computational tools to guide the personalized selection of therapeutic strategies. The main responsibilities will include data analysis and integration, as well as the development and validation of computational models and machine learning algorithms for biomarker identification and tumor stratification. The successful candidate will also contribute to ensuring data quality, reproducibility, and appropriate data management in accordance with FAIR principles. The candidate will also be expected to contribute effectively to the research activities of the project and to work in accordance with the scientific standards and working practices of a research project funded by the European Research Council.

Basic requirements of the position:

The candidate must hold MSc degree in Bioinformatics, Computational Biology, Biostatistics, or a related discipline.

High level of English, both spoken and written.

Experience required:

Knowledge of applied statistics, exploratory data analysis, and omics data analysis, particularly transcriptomics, metabolomics, and lipidomics.

Familiarity with tumor sample analysis and histopathological data, including immunohistochemistry and gene expression analysis by qRT-PCR.

Where to apply Website https://cipf.fundanetsuite.com/ConvocatoriasPropias/es/Convocatorias/VerConvoca…