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Job Location | Cambridge |
Education | Not Mentioned |
Salary | Competitive salary |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent, full-time |
Associate Principal / Senior Clinical Genomics Scientist, Centre for Genomics ResearchLocation: Cambridge, UKSalary: Competitive Salary & Excellent BenefitsAstraZeneca is a science-led, global biopharmaceutical company, with a focused portfolio in core therapies. We are committed to improving the health and lives of people across the globe, through our research and development platform, and a growing late-stage pipeline. Working in over 100 countries, we have strength in emerging markets, and our medicines are used by millions of patients and clinicians worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality.AstraZeneca’s Centre for Genomics Research (CGR) is now looking for a Clinical Genomics Scientist to support the growing data, informatics and analytics capabilities of the Centre. The Centre was launched in April 2016 and has the bold ambition to analyse up to two million genomes by 2026. Using genomics data and state-of-the-art methods for genomic analysis, CGR will investigate underlying genetic causes of disease and integrate genomics across the drug discovery and development platform. This work is fundamental to driving the discovery of precision medicines.In this role, you will contribute expertise in clinical data standards, medical terminologies, controlled vocabularies and ontologies used in healthcare data to facilitate deep phenotyping applied research at the forefront of statistical genetics and machine learning. You help the team coordinate the genomic analysis of large, complex and multidimensional data (e.g., rare-variant collapsing analyses, Mendelian randomisation and advanced analytics), and will use data mining to define groups of phenotypic features (smart phenotypes) to identify patient populations of interest to researchers.Responsibilities:You will bring expertise in clinical data ontologies and data formats, and their practical application. You will also contribute to the design of processes to ingest and interrogate patient-level clinical data, including electronic health records, clinical trials data and biomarkers.