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Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)
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comment: We have an exciting opportunity for a Postdoctoral Health Data Scientist to join the research group led by Associate Professor Sara Khalid at the Centre for Statistics in Medicine, the Botnar Research Centre, NDORMS, University of Oxford. Welcome to the Planetary Health Informatics Group. We combine fair and safe artificial intelligence, remote monitoring technology and clinical epidemiology to study international real-world health, environment, and climate data, for the prevention and treatment of human diseases and to fill the gaps in global health, leveraging common data models and federated network analytics. As a Postdoctoral Data Scientist, you will develop analysis plans, protocols, ethical (and similar panel) submissions, governance and regulatory submissions as required for ongoing and future studies. You will generate and analyse real world health data assets, analyse data following pre-specified analysis plans and/or approved protocols and prepare working theories and analyse quantitative data from a variety of sources, reviewing and refining theories as appropriate. You will carry out collaborative projects with colleagues in partner institutions, and research groups, present papers at conferences or public meetings, lead and support the drafting of scientific manuscripts for dissemination as well as manage your own academic research and administrative activities. You will hold a Doctoral (or be near completion) or MSc degree in applied/medical statistics, bio/medical engineering, health data sciences, health informatics, computer science, clinical/environmental epidemiology, or a similar field. Demonstrable advanced skills in programming in Python, SQL, or similar languages, advanced skills and expertise in R programming and to communicate results effectively in writing and verbally with colleagues in any discipline are essential. Experience designing and conducting cohort, case-control, and similar studies, experience in prediction modelling and experi…
comment: We have an exciting opportunity for a Postdoctoral Health Data Scientist to join the research group led by Associate Professor Sara Khalid at the Centre for Statistics in Medicine, the Botnar Research Centre, NDORMS, University of Oxford. Welcome to the Planetary Health Informatics Group. We combine fair and safe artificial intelligence, remote monitoring technology and clinical epidemiology to study international real-world health, environment, and climate data, for the prevention and treatment of human diseases and to fill the gaps in global health, leveraging common data models and federated network analytics. As a Postdoctoral Data Scientist, you will develop analysis plans, protocols, ethical (and similar panel) submissions, governance and regulatory submissions as required for ongoing and future studies. You will generate and analyse real world health data assets, analyse data following pre-specified analysis plans and/or approved protocols and prepare working theories and analyse quantitative data from a variety of sources, reviewing and refining theories as appropriate. You will carry out collaborative projects with colleagues in partner institutions, and research groups, present papers at conferences or public meetings, lead and support the drafting of scientific manuscripts for dissemination as well as manage your own academic research and administrative activities. You will hold a Doctoral (or be near completion) or MSc degree in applied/medical statistics, bio/medical engineering, health data sciences, health informatics, computer science, clinical/environmental epidemiology, or a similar field. Demonstrable advanced skills in programming in Python, SQL, or similar languages, advanced skills and expertise in R programming and to communicate results effectively in writing and verbally with colleagues in any discipline are essential. Experience designing and conducting cohort, case- control, and similar studies, experience in prediction modelling and exper…
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organization part: Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)
salary: Standard Grade 7: £36,024- £38,205 p.a.
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value: Job Description _________________________________________________________________________ Summary Job title Postdoctoral Health Data Scientist Division Medical Sciences Division Department Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences Location Botnar Research Centre, Windmill Road, Oxford, OX3 7LD Grade and salary Grade 7: £36,024- £38,205 per annum Hours Full time Contract type Fixed-term for 21 months Reporting to Associate Professor Sara Khalid Vacancy reference 172572 Additional information A lower grade offer may be made (Grade 6: £32,332- £38,205 p.a.) with commensurate reduction in responsibilities (and a change in job title to Research Assistant) if a suitable candidate cannot be found to fill the Grade 7 position. The role Project details Welcome to the Planetary Health Informatics Group. We combine fair and safe artificial intelligence, remote monitoring technology and clinical epidemiology to study international real-world health, environment, and climate data, for the prevention and treatment of human diseases and to fill the gaps in global health, leveraging common data models and federated network analytics. We work closely with clinicians, engineers, epidemiologists, conservationists, data scientists, policy-makers, and public and patient groups in the UK and from around the world to co-create models for equitable and ethical solutions for planetary health problems in everyday (“routine”) settings. We study benefits and risks of health technologies particularly in special subgroups of the population who may have rare conditions or may otherwise be under-represented in clinical trials, those disproportionately affected by health inequities, and those most climate vulnerable. Additionally, we are also interested in fair and safe use of AI technology e.g. large language models and foundation models for under-resourced settings around the world. You can learn more about our research and teaching at https://www.ndorms.ox.ac…

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