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Clinical Data Scientist/Analyst
comment: The Nuffield Department of Women’s & Reproductive Health (NDWRH) is seeking a full-time Clinical Data Scientist/Analyst to process and analyse data stored within the Oxford University Hospital NHS Foundation Trust’s (OUH) Electronic Patient Record (EPR) system. This role is pivotal in extracting valuable insights from complex datasets, contributing to the development of cutting-edge clinical research studies, and supporting high-impact research projects aimed at improving health outcomes for mothers, babies, and families. The NDWRH currently hosts one of the world’s largest repositories of pregnancy data, including various biosignals, clinical data, genetic information, and imaging data, encompassing hundreds of thousands of pregnancies. The role involves preparing these data and associated documentation for scientific interrogation, AI model development, and advanced statistical analysis, ensuring effective utilisation to drive clinical and scientific discoveries. This is an exciting opportunity to work in a high-impact field, advancing women's and reproductive health using state-of-the-art research. The successful candidate will join a collegial environment with numerous learning and networking opportunities. Our diverse team comprises clinicians, data scientists, AI researchers, fundamental science researchers, and students, fostering an inclusive and friendly culture that promotes collaboration and professional development. The Clinical Data Scientist/Analyst will work on a diverse array of projects, ranging from large-scale epidemiological studies to clinical trials and health services research. This role offers the chance to engage with cutting-edge research methodologies and data analysis techniques, providing a dynamic and intellectually stimulating work environment. The successful candidate will also collaborate with international institutions, contributing to innovative research. Attention to detail, a strong work ethic, and an appreciation for patient dat…
salary: Grade 7: £36,024 to £44,263
subject: research
application opening date: 2024-07-31T09:00:00+01:00
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further particulars: 174359 Data Scientist Job Description.pdf
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comment: The Nuffield Department of Women’s & Reproductive Health (NDWRH) is seeking a full-time Clinical Data Scientist/Analyst to process and analyse data stored within the Oxford University Hospital NHS Foundation Trust’s (OUH) Electronic Patient Record (EPR) system. This role is pivotal in extracting valuable insights from complex datasets, contributing to the development of cutting- edge clinical research studies, and supporting high-impact research projects aimed at improving health outcomes for mothers, babies, and families. The NDWRH currently hosts one of the world’s largest repositories of pregnancy data, including various biosignals, clinical data, genetic information, and imaging data, encompassing hundreds of thousands of pregnancies. The role involves preparing these data and associated documentation for scientific interrogation, AI model development, and advanced statistical analysis, ensuring effective utilisation to drive clinical and scientific discoveries. This is an exciting opportunity to work in a high-impact field, advancing women's and reproductive health using state-of-the-art research. The successful candidate will join a collegial environment with numerous learning and networking opportunities. Our diverse team comprises clinicians, data scientists, AI researchers, fundamental science researchers, and students, fostering an inclusive and friendly culture that promotes collaboration and professional development. The Clinical Data Scientist/Analyst will work on a diverse array of projects, ranging from large-scale epidemiological studies to clinical trials and health services research. This role offers the chance to engage with cutting-edge research methodologies and data analysis techniques, providing a dynamic and intellectually stimulating work environment. The successful candidate will also collaborate with international institutions, contributing to innovative research. Attention to detail, a strong work ethic, and an appreciation for patient da…

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value: Job description and selection criteria Job title Clinical Data Scientist/Analyst Division Medical Sciences Department Location Nuffield Department Women’s & Reproductive (NDWRH) Level 3, Women’s Centre, John Radcliffe Hospital, Headington, Oxford Health Grade and salary Grade 7: £36,024 to £44,263 Hours Full time Contract type Fixed-term for 1 year in the first instance with the possibility of a further extension Reporting to Dr Gabriel Davis Jones and Professor Manu Vatish Vacancy reference 174359 The Role Overview of the Role The Nuffield Department of Women’s & Reproductive Health (NDWRH) is seeking a full-time Clinical Data Scientist to process and analyse data stored within the Oxford University Hospital NHS Foundation Trust’s (OUH) Electronic Patient Record (EPR) system. This role is pivotal in extracting valuable insights from complex datasets, contributing to the development of cuttingedge clinical research studies, and supporting high-impact research projects aimed at improving health outcomes for mothers, babies, and families. The group currently hosts one of the world’s largest repositories of pregnancy data, including various biosignals, clinical data, genetic information, and imaging data, encompassing hundreds of thousands of pregnancies. This vast and comprehensive resource supports innovative research and groundbreaking studies in women’s and reproductive health. The role will involve making these data and associated documentation ready for scientific interrogation, AI model development, and advanced statistical analysis, ensuring that the data can be effectively utilised to drive forward clinical and scientific discoveries. This is an exciting opportunity to work in a high-impact field, contributing to advancements in women's and reproductive health using state-of-the-art research. The successful candidate will join a collegial environment with many learning and networking opportunities. The team comprises a diverse mix of clinicians, data scientist…
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