Postdoctoral Data Scientist in Advanced Climate and Health Analytics

The Oxford Planetary Health Informatics Lab is hiring a Postdoctoral Data Scientist to work on climate and health analytics projects funded by Wellcome Trust. Responsibilities include developing analysis plans, curating datasets, and creating decision-support tools. A PhD in relevant fields and advanced programming skills in R, Python, SQL are required. The position is based at the Botnar Research Centre in Oxford, UK.
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, and standard operating procedures.
Undertake related literature reviews.
Analyse data following pre-specified analysis plans and approved protocols.
Curate and analyse real-world climate/environment and health data assets.
Lead and support the drafting of scientific manuscripts, reports to funders, and other materials 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, health informatics, computer science, clinical artificial intelligence, environmental epidemiology, climate data sciences, earth observation, public health geography, or a similar field. You must have demonstrable advanced skills in programming in R, Python, SQL, and/or similar languages, alongside experience in version control (e.g., Git) and a working knowledge of Docker and HuggingFace. Additionally, you will have demonstrable experience in data visualization and creating digital tools and dashboards using 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 but not limited to epidemiological, meteorological, environmental, and earth observation data, is desired.
Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, Windmill Road, Oxford, OX3 7LD
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