Postdoctoral Data Scientist in Advanced Climate and Health Analytics

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 date for applications is 12 noon on 25 February 2025. Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application.

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