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4 of 4 Remote Biostatistician Jobs in the UK excluding London
Sheffield, England, United Kingdom Hybrid / WFH Options Dataannotation
Join to apply for the Biostatistician - AI Trainer role at DataAnnotation . We are seeking a biostatistician to join our team to train AI models. Your responsibilities will include measuring the progress of AI chatbots, evaluating their logic, and solving problems to enhance model quality. Qualifications: Expert understanding of biology; a completed or in-progress Masters/PhD is preferred More ❯
Wolverhampton, England, United Kingdom Hybrid / WFH Options DataAnnotation
provided by DataAnnotation. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range We are looking for a biostatistician to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. More ❯
Plymouth, England, United Kingdom Hybrid / WFH Options DataAnnotation
We are looking for a biostatistician to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of statistical/mathematical reasoning - a completed or in-progress Masters/PhD More ❯
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options The University of Edinburgh
Research Fellow ( Biostatistician/Machine Learning Scientist) Join to apply for the Research Fellow ( Biostatistician/Machine Learning Scientist) role at The University of Edinburgh . Job Details Grade UE07: £40,497 - £48,149 per annum Location: CMVM/MGPHS/USHER Institute/Edinburgh Bioquarter Full-time: 35 hours per week Fixed-term: 24 months (with possibility of extension … Hybrid working considered, with at least 60% on campus Job Description The Centre for Population Health Sciences at the Usher Institute, University of Edinburgh, seeks a skilled biostatistician, informatician, or data scientist to work on identifying biomarkers of treatment response in rheumatoid arthritis, utilizing complex genetic, transcriptomic, and proteomic data linked to health outcomes from large biobanks and clinical cohorts. More ❯
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