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, including citizens and communities. Supervisory skills. Leadership potential. Experience of applying for and securing funding. Appropriate bioinformatic competence and accomplishment with large and multiple
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on the computational analysis and interpretation of multi-omics and clinical datasets to support research into multiple myeloma and related conditions. The postholder will apply and further develop bioinformatic and
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faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge
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. The projects focus on learning from bats with exceptional healthy longevity to develop bat-inspired new targets and strategies to fight human diseases and aging, and have multiple national and international
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datasets, as well as unique biospecimens from Einstein’s long-standing familial longevity studies. The research group is supported by multiple NIH-funded projects, including studies of comparative genomics
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working on a Wellcome Trust funded project on alcohol-related dementia. The role is to take the lead in the development of the genetic, proteomic and metabolomic analyses in multiple large biobanks. You
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compliance to data policies Development of computational methods and systems in support of the research activities Requirements: A BSc or MSc in Bioinformatics or similar field (Life Science or Computational
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sequencing approaches (e.g. bulk RNA sequencing and single cell RNA sequencing) and associated data analysis Familiarity with bioinformatics tools and pipelines for analysis and interpretation of high
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analysis of multiple disease-specific datasets and contribute to the development of novel methodologies in this space. The ideal applicant will have a strong background in bioinformatics methods and a keen
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; experience performing metabolic analysis using mass spectrometry, especially in complex matrices; experience with metabolomic pathway bioinformatics analysis and development of rapid point-of-use analytical