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BACKGROUND The Health and Medical Sciences Programme at Turing delivers research into the theory and methods of AI, statistics, and data analytics underpinning medical and health applications. The Alan Turing
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, radiofrequency electromagnetic fields (RF-EMF). We are looking for a self-motivated epidemiologist/ statistician/ data analyst, with an advanced degree in epidemiology, medical statistics, or relevant quantitative
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statistics, or relevant quantitative discipline, and demonstrable experience handling large complex medical/health research datasets and strong statistical knowledge and skills. Responsibilities The post
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; The Medicines And Healthcare Products Regulatory Agency | Canary Wharf, England | United Kingdom | 4 days ago
the Safety and Surveillance group. Within a week of working here, your day could look like this: Apply knowledge and skills in epidemiology and statistics to support the delivery of the Agency’s Data Strategy
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applications in ‘big data’ research using traditional statistical approaches and machine learning methods. You will undertake translational research to address health priorities for underserved and minority
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for the South African context. This post will be offered on a part-time (1 day per week), fixed term contract for 6 months. Key responsibilities Carry out statistical analyses of an existing risk/ resilience
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We seek a talented and passionate candidate to undertake PhD research in computer science, mathematics or statistics, and provide assistance to academic staff in a part-time Graduate Teaching
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Statistics Unit at The Institute of Cancer Research (ICR-CTSU) seek an experienced and highly motivated Principal Statistician to join their team of over 20 statisticians. We want to hear from you if you
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genomic bioinformatics; Genetic statistics; and Functional genomics and multi-omics. Key attributes of the successful applicant include: BSc and PhD in an appropriate field Successful track record
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need where a new Principal Investigator can grow a research group. These include: Cardiovascular genomic bioinformatics; Genetic statistics; Functional genomics and multi-omics; Computational biology