Research Associate in Modelling and Inference from High-throughput Sequencing Time Course Data

The University of Manchester - School of Health Sciences

Closing Date : 31/08/2017
Employment Type : Fixed Term
Duration : Available from 1 October 2017 for 36 months
Faculty / Organisational Unit : Biology, Medicine & Health
School/Directorate : School of Health Sciences
Division : Informatics, Imaging & Data Sciences
Hours Per week : Full time
Salary : £31,076 - £38,183 per annum
Location : Oxford Road, Manchester
Job Reference : BM&H-010449

You are invited to apply for the post of Research Associate in Modelling and Inference from High-throughput Sequencing Time Course Data. The post is associated with a Wellcome Trust Senior Investigator Award “Global dynamics of mRNA accumulation and translation in embryonic development” which aims to understand how genetic information is decoded to specify particular cell fates during development. You will be responsible for developing and applying novel algorithms for probabilistic modelling and Bayesian inference over time course data from high-throughput sequencing assays including RNA-Seq, Ribo-Seq and nascent transcription assays. This will require close collaboration with experimental collaborators generating these datasets, helping both in the experimental design and data analysis.

You will have a PhD with a significant computational and/or statistical element, experience of developing and applying Bayesian inference methods, and experience of scientific programming and software development. A strong interest in molecular biology is essential. You should also have a good scientific publication record given your career stage and be self-motivated, hard-working and able to work in a team.

The School is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School 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. Appointment will always be made on merit. For further information, please visit:

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:  Professor Magnus Rattray


Tel:  + 44(0)161 275 5094

General enquiries:


Tel: 0161 275 4499

Technical support:


Tel: 01565 818 234

Date of external posting: Tuesday 1 August 2017

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

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