Research Fellow in Statistical Genetics/Computational Biology

This fixed term full-time post creates an opportunity to further your career in modern “omics”, big data analysis and hypertension! We are looking for a PhD/higher degree holder in statistics, computational biology, bioinformatics, statistical genetics or applied mathematics and an experience in analysis of big data, genetics, transcriptomics and other “omics”. The post holder with lead on investigation of human transcriptome to dissect the molecular underpinnings of hypertension and identify its new diagnostic and therapeutic targets. Excellent programming skills and knowledge of recent developments in omics-based research are essential.

Successful candidates may be subject to pre-employment screening carried out on our behalf by a third party. The offer of employment will be dependent on the successful candidate passing that screening. Whilst you will be required to provide express consent at a later stage, by continuing with your application now you acknowledge that you are aware that such screening will take place, and agree to take part in the process.

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status.  All appointments are made on merit.

Our University is positive about flexible working – you can find out more here

Blended working arrangements may be considered              

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:

Name: Maciej Tomaszewski

Email: [email protected]

General enquiries:

Email: [email protected]

Technical support:

Jobtrain: 0161 850 2004

This vacancy will close for applications at midnight on the closing date.