Research Assistant​/Associate in MSK Immunology & Data Science

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Location:

Newcastle, GB

Contract Type:
Fixed Term

Working Pattern:
Full Time

Posted Date: 3 Sept 2026

Research Assistant: £33,951 to £35,608 per annum

Research Associate: £36,636 to £46,049 per annum

Newcastle University is a great place to work, with excellent benefits . We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you.

Closing Date: 4 October 2026

The Role

We are excited to launch this new opportunity for a Research Assistant/ Associate in Immunology & Data Science to join us in the Faculty of Medical Sciences.

The mission of our group is to transform lives through world-leading research into immune-mediated musculoskeletal disease across the life course.

As part of a team of >20 including five principal investigators, you will interact widely with our collaborators – including as part of the Arthritis UK-funded ARCADIA network, to deliver this goal.

The successful early career academic will have the opportunity to consolidate their experience in applied biomedical data science as a post-doctoral researcher in the field of human tissue immunology. We seek a highly motivated and appropriately experienced scientist to help deliver our goal of identifying tractable disease pathways for people with inflammatory arthritis that are currently under-served by existing treatment paradigms.

You will apply your considerable experience in deploying advanced bioinformatics approaches to diverse tissue-derived datasets acquired from people with immune-mediated inflammatory diseases – with an emphasis on inflammatory arthritis. We are particularly keen to hear from those with a passion for collaboration and the ability to interact and engage with a diverse network of specialists. For this focussed project we are looking for candidates with established and excellent bioinformatics skills, including proficiency with coding in R and Python environments and experience in the development/application of a broad range of computational tools/packages for analysing omics data.

The post is fixed term for a period of 12 months

For informal enquiries contact NIHR Newcastle BRC MIM Theme Co-Lead Dr Arthur G Pratt .

As part of our commitment to career development for research colleagues, the University has developed 3 levels of Research Innovation Role  . These profiles set out firstly the generic competencies and responsibilities expected of role holders at each level and, secondly, the general qualifications and experiences needed for entry at a particular level.

Key Accountabilities

Research Assistant

• Collect, analyse and interpret research data and draw conclusions on the outcomes
• Co-ordinate own work with that of others, use problem solving to affect the achievement of research objectives and contribute to the planning of the project(s)
• Present information on research progress and outcomes to a Principal Investigator or groups overseeing the research project
• Write up results from own research activity and provide input into the research project’s dissemination, in whatever form (report, papers, chapters, books)
• Use research resources (including, where required, laboratories, workshops and specialist equipment) as appropriate

In addition, for Research Associate

• Contribute ideas, including enhancements to the technical or methodological aspects of the project
• Determine appropriate methodologies for research
• Assess research findings for the need/scope for further investigations
• Contribute to the writing up of the research and its dissemination, either through seminar and conference presentations or through publications
• Present research findings, either at conferences or through publications in reputable outlets appropriate to the discipline
• Contribute to grant applications submitted by others and develop own research objectives and proposals for funding

The Person

Knowledge, Skills and Experience

Research Assistant

• Detailed subject knowledge and experience in human immunology and computational biology, sufficient to enable prompt advancement of the project. This will include:
  • Familiarity with the analysis of scSeq datasets from human peripheral blood mononuclear cells and varied disaggregated tissues (e.g. synovium, gut, skin)
  • Excellent bioinformatics skills, including proficiency with coding in R and Python environments and experience in the…