Research Assistant/Associate in Machine Learning Applied to Multi-source Immunological Datasets

We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.

Salary
Research Assistant: £32,546 - £33,482.
Research Associate: £35,116 - £45,413.

The Role
We look to recruit an enthusiastic researcher to join the Immunotherapy Research Group, as we deliver world-class translational research in immune-mediated rheumatic diseases. Your role will be to develop new analytical pipelines for the analysis of high-dimensional multi-source datasets to gain insights into the underlying immunobiology of flare and drug-free remission in rheumatoid arthritis. You will already have extensive knowledge and experience of working with immunological datasets including flow cytometry, autoantibodies, circulating proteomic markers and gene expression data. You will also have extensive experience of machine learning techniques, and of leading the development of novel software pipelines for the analysis of flow cytometry data within the setting of experimental rheumatology clinical research studies.

This post will form part of ongoing translational research within the Immunotherapy Research Group to better understand the immunobiology of disease flare and drug-free remission in patients living with rheumatoid arthritis. You will have access to datasets from our previous and ongoing clinical research studies, as well as access to our high-performance computing clusters.

This post is fixed-term for a period of 3 years.

For informal enquiries contact: Dr Kenneth Baker kenneth.baker@ncl.ac.uk.

To apply, please attach your CV and a cover letter that demonstrates how you meet the essential criteria for the position, as outlined in the Person Specification of the Job Description (available on the university's website, accessed by the 'Apply' button).

Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/.

Find out more about our Research Institutes here: https://www.ncl.ac.uk/medical-sciences/research/institutes/.

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