Bioinformatician at Cellular & Systems Neurobiology group

Sé de los primeros solicitantes.
Solo para miembros registrados
Barcelona
EUR 30.000 - 50.000
Sé de los primeros solicitantes.
Ayer
Descripción del empleo

Bioinformatician at Cellular & Systems Neurobiology group

The Centre for Genomic Regulation (CRG) is an international biomedical research institute of excellence, based in Barcelona, Spain, with more than 400 scientists from 44 countries. The CRG is composed of an interdisciplinary, motivated, and creative scientific team supported by a flexible and efficient administration and high-end, innovative technologies.

We are seeking a Bioinformatician to join the Cellular and Systems Neurobiology lab to work on the project titled “Psych-STRATA – A Stratified Treatment Algorithm in Psychiatry: A program on stratified pharmacogenomics in severe mental illness,” funded by the European Union’s HORIZON-HLTH-2021 program (grant No. 101057454), led by Dr. Mara Dierssen.

The ideal candidate will have experience in bioinformatics, specifically in processing and analyzing multi-omics datasets (e.g., RNA-Seq, smallRNA-Seq, proteomics). Responsibilities include designing and applying integrative data analysis (computational, statistical, causal) and visualization techniques for multi-omics data to address research hypotheses. The candidate will also apply machine learning models to clinical and omics data for classification tasks and acquire skills to analyze spatial transcriptomic data. We seek highly motivated, organized individuals with good communication skills, capable of working collaboratively and independently.

About the lab

The Dierssen lab focuses on understanding cognition and behavior and their perturbation in intellectual disability. Our interdisciplinary team includes physicists, bioinformaticians, and experimental biologists. We collect diverse data types, such as behavioral, 3D imaging, and genomic data, and analyze variables across systems (longitudinal behavioral analysis, neuronal network population studies, gene expression patterns). We leverage computer modeling and bioinformatics analyses (gene networks, neuronal network modeling, etc.) to address fundamental questions in the field.