Postdoctoral Data Scientist in Advanced Climate and Health Analytics

jobs24.co.uk; Oxford; On-site; GBP 60,000 - 80,000; Full time

Job summary

An innovative lab in Oxford is on the lookout for a dedicated Postdoctoral Data Scientist to drive impactful research on climate and health datasets. This role involves developing analysis plans, curating real-world data, and creating user-friendly dashboards to tackle global health challenges exacerbated by climate change. With a focus on collaboration and scientific rigor, you'll contribute to meaningful projects that aim to enhance public health decision-making. If you're passionate about data science and its potential to improve health outcomes, this opportunity offers a unique platform to make a difference in an interdisciplinary environment.

Qualifications

• PhD/DPhil in relevant fields like health data sciences or environmental epidemiology required.
• Advanced skills in programming languages such as R, Python, and SQL are essential.

Responsibilities

• Develop analysis plans and ethical protocols for research projects.
• Curate and analyze climate and health data assets for decision-support tools.

Skills

R Programming

Python Programming

SQL

Data Visualization

Version Control (Git)

GIS Data Analysis

Education

PhD/DPhil in Applied/Medical Statistics

PhD/DPhil in Health Data Sciences

PhD/DPhil in Environmental Epidemiology

Tools

Docker

HuggingFace

R Shiny

Power BI

Tableau

Job description

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:

1. Develop analysis plans, ethical protocols, and standard operating procedures.
2. Undertake related literature reviews.
3. Analyse data following pre-specified analysis plans and approved protocols.
4. Curate and analyse real-world climate/environment and health data assets.
5. 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