Research Associate in Bioinformatics

Job ID: MED00419
Job date: 2018-03-28
End Date:

Company : Imperial College London 

Country :

Role : Research Scientist 


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Job Description:
The group is now inviting applications for a post-doctoral researcher with a background in bioinformatics. The successful candidate must have a solid understanding of statistics, be experienced in analysing omics data, and have a track record of independently developing tailored computational methods. Specifically, the candidate will be tasked with:

  • Identifying complex patterns of TF binding sites in genomics sequences, and generating collections of informative mutations of these architectures to test specific biological questions.
  • Building statistical models to infer nucleosome positioning from MNase-seq, and NOMe-seq data.
  • Analyse conventional and unconventional RNA-seq, ATAC-seq and ChIP seq datasets, building a statistical framework to quantify the relative prevalence of allelic variants or molecular barcodes among sequencing reads.
  • Building models able to integrate information from these multi-layered datasets, with the aim of linking alteration of the DNA sequence at REs to their effect on TF binding, nucleosome positioning, chromatin accessibility and enhancer activity.
The appointed candidates will be encouraged and assisted in applying for independent funding: at least a first-author publication from previous work is therefore recommended. The selected researcher will be expected to supervise Masters and PhD students, building a track record of successful mentoring. Candidates are expected to be highly passionate and motivated, flexible in their commitment, collaborative and have good written and oral communication skills in English.

The successful candidate will enjoy working with passionate fellow researchers, in an intellectually stimulating environment, where open discussion, exchange of ideas and creativity are considered as the basis of scientific research.


Requeriments :

Skills :

Areas :


Additional Info:
Location: London

Salary: £36,800 to £44,220

Hours: Full Time

Contract Type: Fixed-Term/Contract

Placed on: 28th March 2018

Closes: 30th April 2018

The “Regulatory Dynamics and Cell Identity” group headed by Dr. Nicola Festuccia, aims at combining synthetic biology, new strategies for genome editing and high-throughput screening techniques to understand how transcription factors (TFs) cooperate to control the activity of the cis-regulatory elements (REs) found in mammalian genomes, in stable cell types and during the acquisition of new cell identities.

In particular, we aim at describing in detail how in living cells TF interact with nucleosomes and dynamically reshape the chromatin at REs, influencing each other’s occupancy and allowing combinatorial control over transcription. We want to build on the study of how different TF binding sites architectures influence these molecular dynamics to mechanistically understand the dependence of REs on the activity of specific TFs, and how this defines their behaviour during cell identity transitions. By revealing the intermediate states through which regulatory networks are restructured, we aim at understanding the logic and the driving forces allowing the progression from one configuration to another.

We use murine Embryonic Stem Cells (ESC), and the network of TFs that sustains their pluripotent identity, as a model to address these unanswered aspects of gene regulation. We previously identified REs that either remain active or are inactivated during the early stages of ESC differentiation. The aim of the proposed project is to dissect the determinants of this differential behaviour, as a case study to understand the control of complex regulatory responses.

For informal inquiries or questions please contact Dr Nicola Festuccia directly (nicola.festuccia@imperial.ac.uk, or before May 2018 Nicola.festuccia@pasteur.fr).

Our preferred method of application is online via our website (please enter the job title or vacancy reference – MED00419)

Closing Date: 30 April 2018 (Midnight)

[Click Here to Access the Original Job Post]