Research Associate Data Scientist

Location: White City campus (hybrid)

About the role:

The Research Associate position in Biostatistics presents an exciting opportunity for a researcher with a strong statistical background and an interest in public health to develop hierarchical statistical models within the field of environmental epidemiology. It is supported by two projects: the Health Data Research UK Social and Environmental Determinants of Health Driver Programme (link) and the MRC-funded programme ‘Public Health Impacts of the UK's Clean Air Zones (PHICAZ).’ This role

What you would be doing:

You will join the Imperial College HDR UK and PHICAZ research teams and become a member of the UK Small Area Health Statistics Unit (SAHSU) (www.sahsu.org.uk).

Within the PHICAZ project, you will play a key role in developing a statistical model to provide robust, evidence-based evaluations of clean air policies in London before, during, and after the COVID-19 pandemic.

For the HDR UK project, the focus will be on applying statistical and machine learning techniques to analyse the impact of social, environmental, and household factors on population health by integrating administrative data from various sources.

What we are looking for:

• - Experience of Bayesian inference in a hierarchical modelling context
• - Experience of working with large data from observational studies (e.g. electronic health records)
• - Proficient in working with the R statistical environment (particularly packages for Bayesian modelling like RStan, R-Nimble, R-INLA)
• - Creative approach to problem-solving

What we can offer you:

• Be part of a dynamic research group, working on cutting edge statistical modelling in environmental epidemiology
• The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
• Grow your career: gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression.

• Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes).

• Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.

Further Information

The post is offered for 24 months. If you require any further details about the role, please contact: [Prof Marta Blangiardo] – [m.blangiardo@imperial.ac.uk].

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

If you experience any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.

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