Data Analyst - Single Cell Genomics TeamLocation:Date of Publication: 01/10/2024About Us:The Centro Nacional de Análisis Genómico (CNAG) is one of the largest Genome Sequencing Centers in Europe. The CNAG Consortium aims to carry out large-scale projects in DNA/RNA analysis for the improvement of quality of life in collaboration with the Spanish, European and International Research Community. CNAG researchers participate in major International Genome Initiatives such as the Human Cell Atlas (HCA), the International Cancer Genome Consortium (ICGC), the International Human Epigenome Consortium (IHEC), the International Rare Diseases Research Consortium (IRDiRC), the European Reference Genome Atlas (ERGA) and the European Infrastructure for life-science information (ELIXIR), as well as in several EU-funded projects.The RoleWe are hiring a Data Analyst to work in Single-Cell and Spatial genomics projects related to immuno-oncology. We aim to delineate mechanisms of immune cell infiltration and plasticity in tumors to provide an accurate patient prognosis and a precise prediction of therapy success.We are looking for an enthusiastic computational scientist, motivated to improve our understanding of immune cell function in tumors/tissues. Together, we aim to bring single-cell and spatial genomics applications into clinical use and to advance pathology assessment with high-dimensional genomics readouts (next-generation pathology).The candidate will be integrated in the Single Cell Genomics Team, a highly collaborative, international work environment with well-experienced colleagues in single-cell and spatial data generation and analysis. The projects the candidate will be involved in aim to understand the molecular and cellular basis of immunomodulating drug action through the application of multi-omics single-cell and spatial technologies on clinical samples.Main tasks and responsibilitiesAnalyze multi-modal single-cell and spatial genomic data to identify mechanisms of immune cell infiltration and plasticity in tumors.Develop and apply statistical methods to integrate multi-omics, spatial, and clinical patient data.Innovate and refine computational techniques for single-cell and spatial data analysis.Create tools and pipelines to enhance the integration of diverse data types, including genomic, transcriptomic, proteomic, and clinical datasets.Work closely with a multi-disciplinary team, including biologists, clinicians, and other computational scientists, to design and execute research projects.Contribute to research projects aimed at understanding the molecular and cellular basis of immunomodulating drug actions.Collaborate with clinical teams to bring single-cell and spatial genomics applications into clinical use.Whom would we like to hire?You have completed a master's degree in Bioinformatics, Mathematics, Statistics or similar.You are competent in Python or R.You have good knowledge of Computational Biology.Experience in single-cell and/or spatial analysis.The OfferContract duration: 3 years.Estimated annual gross salary: Salary is commensurate with qualifications and consistent with our pay scales.Target start date: As soon as possible.Highly stimulating environment with state-of-the-art infrastructures, and unique Professional Career Plan and development opportunities.We offer and promote a diverse and inclusive environment and welcome applicants regardless of age, disability, gender, nationality, race, religion or sexual orientation, in a collaborative and supportive environment.We are committed to reconciling work and family life for our employees and are offering the opportunity to benefit from annual leave, full health and dental Insurance, flexible schedule, and the possibility of remote work.We look forward to receiving your application and discovering how you can contribute to CNAG's success!How to Apply:All applications must include:Deadline: Please submit your application by 30/11/2024.
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