AstraZeneca GmbH
Associate Director Bioinformatics
AstraZeneca GmbH, New York, New York, United States,
Job Title: Associate Director BioinformaticsCareer Level -EIntroduction to Role:Join us at AstraZeneca as an Associate Director Bioinformatics in our Oncology Business Unit. This role offers a unique opportunity to partner with CPSS scientists across multiple strategic global locations. You will use computational approaches to generate biological insights, enable new computational capabilities, and drive efforts focused on advancing understanding of drug safety and efficacy. This is a rare chance to gain experience in a variety of computational approaches, work with industry leaders, and contribute directly to the development of future drugs across many diseases.Accountabilities:
As an Associate Director Bioinformatics, you will build in silico capabilities to advance multi-omics technologies that measure transcripts, proteins, and metabolites at both the bulk and spatial levels. You will drive hypothesis generation by applying computational biology approaches, data integration, and combining biological knowledge. You will also implement new predictive capabilities using computational biology to translate omics data into biological insights for predictive safety. Collaboration with academic research groups, leveraging external grants, and contributing to publications in peer-reviewed journals will be part of your role. You will also help educate and train AstraZeneca colleagues in omics data interpretation and related areas and support junior members of staff and postdocs.Essential Skills/Experience:
PhD in computational biosciences (e.g., computational biology, bioinformatics, genomics or computer science) is preferred; or MSc (or equivalent) with experience in independent research in high-throughput omics data will also be consideredExtensive experience in multiple large-scale omics data types, including transcriptomics, proteomics, metabolomics, epigenetics, genomics or CRISPR gene editing data analysis. Skill-sets in additional computational biology domains are a plus.Experience developing predictive safety models such as for liver, heart, kidney or lungExpertise in data science techniques, such as machine learning and statistical analysis for biological problemsStrong programming skills in R or Python, together with data visualisation frameworksTeam player mindset and ability to explain complex topics to scientists from other disciplinesDemonstrated evidence of leading highly collaborative cross-functional teamsPrior experience in the biopharmaceutical industry and general understanding of drug development and pharmacologyExperience in independent scientific researchBackground in computational toxicology and predictive safety, with knowledge of molecular mechanisms of disease or human biomedicine, particularly in a drug safety contextKnowledge of drug discovery or pharmaceutical development, including new modalities Car-T, ADC, cell and gene therapies, oligonucleotide-based therapeutics.Excellent ability to work on multiple projects at the same timeAre you ready to make a difference? Apply today and join us in our mission to eliminate cancer as a cause of death!
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As an Associate Director Bioinformatics, you will build in silico capabilities to advance multi-omics technologies that measure transcripts, proteins, and metabolites at both the bulk and spatial levels. You will drive hypothesis generation by applying computational biology approaches, data integration, and combining biological knowledge. You will also implement new predictive capabilities using computational biology to translate omics data into biological insights for predictive safety. Collaboration with academic research groups, leveraging external grants, and contributing to publications in peer-reviewed journals will be part of your role. You will also help educate and train AstraZeneca colleagues in omics data interpretation and related areas and support junior members of staff and postdocs.Essential Skills/Experience:
PhD in computational biosciences (e.g., computational biology, bioinformatics, genomics or computer science) is preferred; or MSc (or equivalent) with experience in independent research in high-throughput omics data will also be consideredExtensive experience in multiple large-scale omics data types, including transcriptomics, proteomics, metabolomics, epigenetics, genomics or CRISPR gene editing data analysis. Skill-sets in additional computational biology domains are a plus.Experience developing predictive safety models such as for liver, heart, kidney or lungExpertise in data science techniques, such as machine learning and statistical analysis for biological problemsStrong programming skills in R or Python, together with data visualisation frameworksTeam player mindset and ability to explain complex topics to scientists from other disciplinesDemonstrated evidence of leading highly collaborative cross-functional teamsPrior experience in the biopharmaceutical industry and general understanding of drug development and pharmacologyExperience in independent scientific researchBackground in computational toxicology and predictive safety, with knowledge of molecular mechanisms of disease or human biomedicine, particularly in a drug safety contextKnowledge of drug discovery or pharmaceutical development, including new modalities Car-T, ADC, cell and gene therapies, oligonucleotide-based therapeutics.Excellent ability to work on multiple projects at the same timeAre you ready to make a difference? Apply today and join us in our mission to eliminate cancer as a cause of death!
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