Research Associate

University of Cambridge - Department of Medicine

We seek an outstanding, highly motivated and skilled researcher to join our cross functional experimental medicine team to contribute to the development of new therapeutics to treat type 1 diabetes (T1D) and other autoimmune disease.

Previous studies have highlighted a critical role for the interleukin-2 (IL-2) pathway in susceptibility of T1D. Over the last 4 years the team led by Dr Frank Waldron-Lynch has conducted the DILT1D (single dose), the DILfrequency (repeat doses) and the DILfrequency observational (untreated cohort) clinical studies to understand the effect of ultra-low dose (ULD) IL-2 on the human immune system This project will leverage the extensive genotypic, transcriptomic, pharmokinetic, pharmodynamic and clinical data from these studies to elucidate how the patient responses to ULD IL-2 treatment relates to their pre-treatment immune state. Collectively, this work will be an extension of our work just published in PLOS Medicine and will help provide the foundation for a precision medicine strategy to target ULD IL-2 treatment to responsive individuals with autoimmune diseases.   

The role would be ideal for researchers interested in an opportunity to demonstrate the utility of the integrated data produced on the project for discovery of new biology while in parallel helping to develop new treatment strategies. As the project develops there will be ample opportunity for taking initiative and incorporating novel ideas, which is strongly encouraged within the team.

You will possess a demonstrable record in bioinformatics, have an advanced degree (PhD) or equivalent research experience and will be an excellent communicator (written and verbal) and have team working skills.  You will also have excellent programming/scripting skills in languages such as R or Matlab, Python or Perl, C/C++, Ruby or Java, and the ability to multi-task and prioritise work effectively and will contribute to scientific papers.

Desirable skills would be knowledge of clinical trial datasets, knowledge of immunology, experience in project management, mathematical/statistical modelling of metabolic processes and the use of statistical methods to integrate diverse -omics data and discover novel associations.

Informal inquires can be made to Dr. Frank Waldron-Lynch, Division of Experimental Medicine & Immunotherapeutic, Department of Medicine, University of Cambridge - fw211@cam.ac.uk

Further information of clinical studies can be found here: http://www.clinical-trials-type1-diabetes.com.

Fixed-term: The funds for this post are available for 9 months in the first instance.

This appointment requires a Research Passport application.

To apply online for this vacancy and to view further information about the role, please visit: http://www.jobs.cam.ac.uk/job/12148. This will take you to the role on the University’s Job Opportunities pages. There you will need to click on the 'Apply online' button and register an account with the University's Web Recruitment System (if you have not already) and log in before completing the online application form.

Please ensure that you upload a covering letter and CV in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please quote reference RC10759 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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South East England