Predoctoral Research Assistant for the Computational Cancer Genomics Group ( AIPRECCGSO)

Descripción

The Computational Cancer Genomics Lab adopts an integrated methodology to delve into the disrupted protein-protein interaction network. Our primary focus involves analyzing extensive cancer genomics data and building models to comprehend condition-specific interaction dynamics. Stemming from our model study, our paramount objective is to gain a complete understanding of the context-specific cancer fitness landscape by examining position-specific interaction networks.

Despite the growing volume of cancer genomics data, most existing network models oversimplify interaction dynamics by treating them as static and context-independent. However, tumorigenesis is a highly dynamic process influenced by cell type, mutational context, and microenvironment. Our approach addresses this gap by focusing on position-specific and condition-specific PPIs, offering a more nuanced and accurate understanding of the molecular underpinnings of cancer. This is critical for identifying precise therapeutic targets and biomarkers. Furthermore, collaboration with global institutions ensures access to diverse datasets and methodologies, increasing the robustness and generalizability of our models. The requested support is therefore essential to enable computational resource development, cross-institutional data integration, and high-resolution network modeling required to advance this innovative research.

Roles and Responsibilities of proposed position :

• Constructing the pipeline for cancer genomics data collection and variant classification.
• Analyzing large-scale protein-protein interaction screening results.
• Developing computational models to understand perturbed interaction networks.

Criterios de evaluación

Master’s degree or equivalent experience in Bioinformatics, Computational Biology, Statistics, or relevant field.

Experience with big data / genomics is desirable.

Technical skills :

Excellent communication skills in English.

Se ofrece

The opportunity to be part of one of the few European Cancer Research Centres of excellence.

An excellent multidisciplinary working environment.

Competitive salary.

Estos contratos están vinculados a la acreditación del CNIO como Centro de Excelencia Severo Ochoa CEX -S, financiado por el Ministerio de Ciencia, Innovación y Universidades, Agencia Estatal de Investigación (MICIU / AEI / / ).

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