Research Associate - School of Medical Sciences

The human genome contains 3,000 million base pairs. Mutations within the genome occur stochastically, but their fixation in the population depend on their effect on the fitness of the individuals. The effect of those mutations is not independent of the variants already present in the genome, but is influenced by them. This creates fitness-related dependencies which coexist with fitness-independent dependencies caused by the population structure.

We are seeking a highly motivated postdoctoral researcher to simulate the genomic variation within a population and model its underlying causes. The candidate will have a PhD in Applied Mathematics, and have a strong background in data simulation and analysis. The role will involve simulating human variation data, and modelling dependencies using Markov random fields. In addition to data simulation and quantitative analysis, the PDRA will be responsible for writing up and disseminate the findings in conjunction with the supervisors and collaborators.

The School/Department is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School/Department holds a Silver Award which recognises their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff achieve a good work-life balance. We particularly welcome applications from women for this post. All appointment will be made on merit. For further information, please visit:

https://www.bmh.manchester.ac.uk/about/equality/  

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: Dr David Talavera

[email protected]

General enquiries:

Email: [email protected]

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

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