Research Assistant/Associate in machine learning applied to multi-source immunological datasets
Research Assistant/Associate in machine learning applied to multi-source immunological datasets
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£ 32546 - 33482
1 Vacancy
Job Description
Salary:
Reserach Assistant: 32546 - 33482
Reserach Associate: 35116 - 45413
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: 05 August 2025
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
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.
Find out more about the Faculty of Medical Sciences here: out more about our Research Institutes here: part of our commitment to career development for research colleagues the University has developed 3 levels of research role profiles. These profiles set out firstly the generic competences 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
- Although working under the general guidance of an academic or Principal Investigator the postholder will contribute ideas including enhancements to the technical or methodological aspects of their studies thus providing substantial added value
- Develop and carry out the specified project using appropriate techniques and equipment as outlined in the personal requirements
- Determine appropriate methodologies for research with advice and support where required
- Contribute to grant applications submitted by others and in time develop own research objectives and proposals for funding
- Begin to write with appropriate support proposals for individual research funding or where funders do not permit this contribute to the writing of collective bids
- Assess research findings for the need/scope for further investigations
- Contribute to the writing up of their research for publication and 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
- May be involved in the supervision with guidance of final year undergraduate research projects and in providing support to postgraduate research students or Research Assistants
- Will need to work with the support staff and on occasions with undergraduate and postgraduate students and interact intellectually with other academic members of the Institute.
- May contribute to events celebrating the public engagement of science/social sciences/humanities
- Develop an awareness of University structures policies and procedures and relevant issues in the higher education research social and political environment
The Person (Essential)
Knowledge Skills and Experience
Essential
- Ability to work well as part of a team and rapidly acquire new skills
- Detailed subject knowledge in the area of research
- Likelihood of advanced skills directly related to the research projects
- High level of analytical and problem-solving capability
- Ability to communicate complex information with clarity and to encourage the commitment of others
- Experience of research with clear transferable skills and some experience or awareness of the research environment
- Presentations at conferences and/or high-quality publications
- Advanced knowledge of Python programming language and experience with libraries for data analysis and visualisation such as NumPy SciPy Pandas matplotlib and seaborn
- Experience in development of novel techniques for the analysis of high dimensional clinical flow cytometry autoantibody proteomic and transcriptomic data
- Knowledge of machine learning especially the experiment design and evaluation and practical knowledge of libraries such as scikit-learn and shap
- Practical skills in training machine learning models on multi-source human immunological datasets
- Experience in setting up computational pipelines in HPC environment
- Knowledge of R programming language and practical experience with statistical analysis and ggplot
Desirable
- Knowledge and experience of statistical approaches to immunological data analysis
- Practical experience with GNU/Linux operating system Bash scripting and Python package management
- Knowledge of the underlying immunobiology of rheumatoid arthritis
Attributes and Behaviour
Essential
- Ability to work independently and as part of a team
- Capacity for original thought
- Ability to communicate effectively to scientific audiences
Desirable
- Curious to better understand the workings of the human immune system
- Interest in rheumatic disease
Qualifications
Essential
- Honours degree (or equivalent) with some subject knowledge in the relevant area (Research Assistant)
- A PhD in machine learning applied to immunology (Research Associate)
Newcastle University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary we aim to provide a welcoming place of safety for all offering opportunities to people fleeing violence and persecution.
We are committed to being a fully inclusive university which actively recruits supports and retains colleagues from all sectors of society. We value diversity as well as celebrate support and thrive on the contributions of all of our employees and the communities they represent. We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams we believe that success is built on having teams whose backgrounds and experiences reflect the diversity of our university and student population.
At Newcastle University we hold a silverAthena Swan award in recognition of our good employment practices for the advancement of gender equality. We also hold a Race Equality Charter Bronze award in recognition of our work towards tackling race inequality in higher education REC. We are a Disability Confident employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme.
In addition we are a member of the Euraxess initiative supporting researchers in Europe.
Requisition ID: 28347
Required Experience:
IC
Employment Type
Full-Time
