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have strong quantitative analysis skills, using statistical programming packages such as R, as well as excellent communication skills. This is a full time, fixed term post (part time considered) for 3
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/or R) and understanding of Markov model principles. You will be based in the Gibson Building, Nuffield Department of Primary Care Health Sciences, Woodstock Road, Oxford, OX2 6GG as your normal place
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Review, 6: 247-272. • Lang, T., & Ramirez, R. (2024). How ghost scenarios haunt strategy execution. MIT Sloan Management Review, Winter. • Bhatti, Y., Ramirez, R., & Athanasopoulou, A. (2023
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Review, 6: 247-272. • Lang, T., & Ramirez, R. (2024). How ghost scenarios haunt strategy execution. MIT Sloan Management Review, Winter. • Bhatti, Y., Ramirez, R., & Athanasopoulou, A. (2023
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Review, 6: 247-272. • Lang, T., & Ramirez, R. (2024). How ghost scenarios haunt strategy execution. MIT Sloan Management Review, Winter. • Bhatti, Y., Ramirez, R., & Athanasopoulou, A. (2023
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knowledge of programming in R and/or Python. You will be self-motivated with proven organisational and time management skills and have the ability to work within multi-disciplinary teams and independently
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proficient in R, Stata, or Python for statistical analysis and have demonstrable experience in handling and analysing large-scale datasets, including EHR and biomarker data (e.g. UK Biobank, China Kadoorie
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economic studies funded by the UK National Institute for Health and Care Research. Experience of conducting economic evaluations using suitable statistical software (e.g. STATA, R or SAS) is essential
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to support the liaison with clinical teams and NHS R&D offices across the UK, recruiting patients, and carrying out the trial assessments. Project 2 The post-holder will work across three clinical
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experience developing reproducible machine learning pipelines applied to complex biological datasets also experience of coding in R and python. Applications for this vacancy should be made online and you will