Research Associate - Bioinformatics (Cardiff)

Vacancy Reference Number
12697BR
Closing Date
20 Feb 2022
Salary
£34,304 to £40,927per annum
Address
UK DRI at UK DRI at Cardiff University, Cardiff, CF14 4XN
Duration
This post is full time (35 hours per week), fixed term for 2 years and is available immediately.

Dementia is the greatest health challenge of our century

To date, there is no way to prevent it or even slow its progression, and there is an urgent need to fill the knowledge gap in our basic understanding of the diseases that cause it.

The UK Dementia Research Institute (UK DRI) is the biggest UK initiative driving forward research to fill this gap.

The UK DRI at Cardiff is one of 7 UK centres bringing together world-leading scientists to deliver a step-change in the scientific understanding of dementia, generating new targets for drug development, reinvigorating the therapeutic pipeline and helping to transform care.

Pain disorders are heterogeneous with respect to clinical presentation and underlying mechanisms, imposing a significant burden of disability worldwide with a large unmet medical need. We are looking to appoint an enthusiastic scientist able to bring relevant informatics, computational, statistical and/or mathematical skills to analyse new single-cell gene expression data across a wide range of human pain-relevant brain/CNS tissues specifically generated for this project. The scientist will join Professor Caleb Webber’s research group within the UK Dementia Research Institute at Cardiff University. The Webber group are experts in bioinformatics and single cell analyses, and you will be joining an outstanding informatics community. This is a collaboration between Cardiff University, Oxford University and Industry to deliver the next generation of CNS therapeutic targets.

The role holder will work independently and as part of a multi-disciplinary team, to perform self-directed analyses using novel datasets delivering high impact science and publications. Applicants should be knowledgeable and enthusiastic with the ability to multi-task and communicate effectively. This academic/industrial partnership means collaborative working will a key component of this role and effective communication skills will be vital.

 

Person Criteria

The role holder will work independently and as part of a multi-disciplinary team, to perform self-directed analyses using novel datasets delivering high impact science and publications. Applicants should be knowledgeable and enthusiastic with the ability to multi-task and communicate effectively. This academic/industrial partnership means collaborative working will a key component of this role and effective communication skills will be vital.

Contact Details

Informal enquiries can be made to Professor Caleb Webber webberc4@cardiff.ac.uk