Associate Director, Early Data Science And Computational Oncology, Astrazeneca Oncology R&D

hace 2 semanas


Barcelona, España Astrazeneca A tiempo completo

.Join AstraZeneca, a global, science-driven biopharmaceutical company dedicated to discovering, developing, and delivering innovative, meaningful medicines and healthcare solutions. Our vision in Oncology is to redefine cancer, redefine our solutions to cancer, and restore patients' lives. We are expanding our Early Data Science team to meet the challenges of pre-clinical and clinical big data generation initiatives in AZ Oncology. We are seeking a talented and motivated bioinformatician with strong expertise in single-cell sequencing and/or cancer genomics. This is your chance to make a big impact. Be part of the team that will eliminate cancer as a cause of deathAccountabilities:You will leverage multi-omic data (scRNA, scATAC, WES, bulk RNAseq, proteomics) from preclinical models and patients to understand mechanism of action of our compounds in the TDR and DDR areas.You will work as part of our TDR/DDR project teams to define novel markers of response & resistance from preclinical models and patients on our clinical trials.You will work on the development and application of computational approaches with a strong focus on drug portfolio applications.You'll apply innovative computational/statistical algorithms and visualizations to:Generate actionable biological insight from genomic data.Discover and develop new molecular target, mechanism and biomarker hypotheses.Link multi-omic data sets from patients and in vitro/vivo models.Integrate and interpret proprietary and public data spanning multiple platforms.You will proactively engage in knowledge sharing and peer support, including training our bench science community to build expertise in the tools critical to Oncology bioinformatics.Build and steer development of small prototype tools for bench scientists to access and visualise project data.Collaborate with industry and academia, and utilise external resources, to find the most effective solutions to our drug discovery problems.Publish your work in high impact journals.Essential requirements:PhD and significant postdoctoral experience in either:Bulk and single-cell RNA sequencing technologies.Cancer genomics.Proficiency analysing and interpreting data from multiple 'omic platforms (NGS sequencing, transcriptomic, epigenetic, proteomic etc.).Expertise in the analysis of genomic data (WES, targeted panels, WGS) covering QC, handling, processing & interpretation.Expertise in querying, mining and interpreting cancer variants from public resources (TCGA, MSK-IMPACT).Expertise in pathway enrichment tools and interpretation of the data to derive actionable biomarkers.Knowledge of statistical methods applicable to cancer biology.Knowledge of cancer genetics and/or the DNA damage response.R and/or Python programming and visualisation expertise.Skilled in effective communication of complex data to a non-expert.Desirable requirements:Publication record in either cancer genomics, bulk or single-cell transcriptomic applied to cancer



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