-
to manage the biodiversity genomics data produced by the project and overseeing the entire flow of the data: from sample collection to genome annotation and functional analyses. Develop and maintain web-based
-
analyses. Develop and maintain web-based tools and applications to support data management and analysis. Provide technical support and training to CBP members as needed. To develop the protocols to interface
-
, ensuring professional development and project alignment with the relevant research goals. Identify and develop collaborative research proposals and coordinate submission and follow-up of funding applications
-
to answer questions about mutational processes and selective pressures in cancer tumors. The candidate will analyze data, develop models for the description of tumor DNA sequencing data, develop a
-
develop new genomic applications that are of relevance to the CRG and its lines of research. The Unit is equipped with a wide range of short-read sequencing instruments from Illumina (1 Novaseq6000, 1
-
laboratory techniques, including molecular biology, protein expression, purification, and characterization Desirable but not required/ Nice to have Experience in enzymatic and ligand-binding assays Education
-
. The main role of the candidate will be to develop nf-core tooling so as to improve the development of existing pipelines and their integration within the nf-core framework. The candidate should have a
-
Illustrator and Photoshop Knowledge of wireframe tools (e.g. Wireframe.cc and InVision) Desirable but not required/ Nice to have You have experience in creating animated videos Education and training You hold a
-
toolsuite Good understanding of statistics and bioinformatics Education and training You hold a Phd in bioinformatics and relative disciplines Languages You are proficient in English Technical skills Ability
-
. The position will entail coordinating a small (3-5) team of Bioinformaticians and computer scientists working together to develop computational pipelines to analyse of single-cell transcriptomic data across