.Join AstraZeneca, a global, science-driven biopharmaceutical company dedicated to discovering, developing, and delivering innovative, meaningful medicines and healthcare solutions. We are expanding our Oncology Bioinformatics team and are seeking a talented and motivated bioinformatician with strong expertise in single-cell transcriptomics. This is an exciting opportunity to contribute to the development of our drug portfolio and work on cutting edge single-cell methodologies.Accountabilities:As a Senior Scientist, you will contribute to the development and application of standardised single-cell computational approaches with clinical cross-portfolio application. You will design and apply innovative computational/statistical algorithms and visualizations to generate actionable biological insight from single-cell data. You will also work as part of our drug project science teams to contribute to the progression of new medicines through the clinic. Additionally, you will collaborate with industry and academia, publish your work in high impact journals, and engage in knowledge sharing and peer support.Essential Skills/Experience:– Relevant PhD (or equivalent graduate degree plus proven applied experience) in bioinformatics, computational biology, machine learning, mathematical modelling, data science or knowledge engineering.– Hands-on experience in computational single-cell analysis.– Expertise in the analysis of large-scale multi-modal single-cell data.– Experience with methods for building cross-study single-cell references.– Expertise in quantification and interpretation of gene signatures associated with treatment response.– Knowledge of statistical principles applicable to cancer biology.– R and/or Python programming and visualisation expertise.– Skilled in effective communication of complex data to a non-expert.Desirable Skills/Experience:– Expertise on probabilistic models for single-cell omics analysis.– Experience with machine learning, graph modelling, artificial-intelligence, Bayesian analytics or other non-traditional approaches to model biological data.– Proficiency analysing and interpreting data from multiple 'omic platforms (NGS sequencing, transcriptomic, epigenetic, proteomic etc.).– Knowledge of cancer genetics and/or immunology.– Expertise in the development of novel statistical approaches for the analysis of biological data.Are you ready to make a difference? Join us in our mission to redefine cancer treatment and restore patients' lives. Apply now!Date Posted:22-ago-2024Closing Date:01-sept-2024AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics
