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Postdoctoral Data Scientist in Advanced Climate and Health Analytics
comment: The Oxford Planetary Health Informatics Lab is seeking a highly motivated Postdoctoral Data Scientist to support new Wellcome Trust funded projects on curation and modelling of harmonised climate and health datasets and co- creating publicly available decision-support dashboards and tools to enhance mapping, monitoring, and prediction of global health challenges including mitigating climate-exacerbated global health inequities. This position will be based at the Botnar Research Centre in Oxford. As a Postdoctoral Research Data Scientist, you will develop analysis plans, ethical protocols, standard operating procedures and undertake related literature reviews. You will analyse data following pre-specified analysis plans and approved protocols as well as curate and analyse real world climate/environment and health data assets. You will lead and support the drafting of scientific manuscripts, reports to funders and other materials for other audiences based on the results from research studies. You must hold a PhD/DPhil (or be near completion) in applied/medical statistics, bio/medical engineering, health data sciences, earth observation, environmental epidemiology, public health geography or another similar field. You must have demonstratable advanced skills in programming in R, Python, SQL, and/or similar languages alongside experience in version control e.g. Git; working knowledge of Docker, HuggingFace. Additionally, you will have demonstratable experience in data visualization and creating digital tools and dashboard using e.g. R Shiny, Power BI, Tableau or similar. You must have advanced taught or demonstrated skills in cleaning and analysing satellite- derived data analysis products and GIS data. Experience in the analysis of routinely collected (aka ‘real world’) health and climate data including and not limited to epidemiological, meteorological, environmental, earth observation data is desired. This is a full-time, fixed-term position for 2 years. The closing …
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comment: The Oxford Planetary Health Informatics Lab is seeking a highly motivated Postdoctoral Data Scientist to support new Wellcome Trust funded projects on curation and modelling of harmonised climate and health datasets and co-creating publicly available decision-support dashboards and tools to enhance mapping, monitoring, and prediction of global health challenges including mitigating climate-exacerbated global health inequities. This position will be based at the Botnar Research Centre in Oxford. As a Postdoctoral Research Data Scientist, you will develop analysis plans, ethical protocols, standard operating procedures and undertake related literature reviews. You will analyse data following pre-specified analysis plans and approved protocols as well as curate and analyse real world climate/environment and health data assets. You will lead and support the drafting of scientific manuscripts, reports to funders and other materials for other audiences based on the results from research studies. You must hold a PhD/DPhil (or be near completion) in applied/medical statistics, bio/medical engineering, health data sciences, earth observation, environmental epidemiology, public health geography or another similar field. You must have demonstratable advanced skills in programming in R, Python, SQL, and/or similar languages alongside experience in version control e.g. Git; working knowledge of Docker, HuggingFace. Additionally, you will have demonstratable experience in data visualization and creating digital tools and dashboard using e.g. R Shiny, Power BI, Tableau or similar. You must have advanced taught or demonstrated skills in cleaning and analysing satellite-derived data analysis products and GIS data. Experience in the analysis of routinely collected (aka ‘real world’) health and climate data including and not limited to epidemiological, meteorological, environmental, earth observation data is desired. This is a full-time, fixed-term position for 2 years. The closing da…
type: Vacancy
spatial: Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, Windmill Road, Oxford, OX3 7LD
application opening date: 2025-01-28T09:00:00+00:00
subject: research
application closing date: 2025-02-25T12:00:00+00:00
further particulars: Job Description Final.pdf
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value: Job Description _________________________________________________________________________ Summary Job title Postdoctoral Data Scientist in Advanced Climate and Health Analytics 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: £38,674 - £45,628 Hours Full time Contract type Fixed-term (2 years) Reporting to Associate Professor Sara Khalid Vacancy reference 177883 Additional information A lower grade offer may be made (Grade 6: £34,982 - £40,855 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 The Oxford Planetary Health Informatics Lab is seeking a highly motivated postdoctoral data scientist to support new Wellcome Trust funded projects on curation and modelling of harmonised climate and health datasets and co-creating publicly available decision-support dashboards and tools to enhance mapping, monitoring, and prediction of global health challenges including mitigating climate-exacerbated global health inequities. About the Team Welcome to the Planetary Health Informatics Group, led by Associate Professor Sara Khalid. We combine fair and safe artificial intelligence, remote monitoring technology and clinical epidemiology to study international “realworld” health and environment/ climate data, for the prevention and treatment of human diseases and to mitigate global health inequities, 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 heal…

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