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Postdoctoral Fellow

25 April 2018


Many research studies on ageing have explored the effects of different environmental stresses and gene mutations on gene expression and lifespan. However, despite this work much remains to be understood about how these gene expression changes affect the biological pathways which control lifespan in different model organisms. The successful candidate will study longevity in model organisms (worm, fly, mouse) focusing on the Insulin/Insulin-like Growth Factor and the TOR signalling pathways. (S)he will contribute to our efforts to integrate and interrogate this information in the context of longevity phenotype represented by survival data sets and our current knowledge on the pathways. We will extend these studies to consider the effects of drugs in model organisms and explore whether it is possible to extrapolate to human tissues. The goal is to gain a better understanding of the underlying molecular mechanisms of aging and their similarities in different tissues and species.

EMBL-EBI is part of the European Molecular Biology Laboratory (EMBL) and it is a world-leading bioinformatics centre providing biological data to the scientific community with expertise in data storage, analysis and representation. EMBL-EBI provides freely available data from life science experiments, performs basic research in computational biology and offers an extensive user training programme, supporting researchers in academic and industry. We have close ties with both the University of Cambridge and the Wellcome Trust Sanger Institute. 

Qualifications and Experience:

  • The successful candidate will have completed, or be close to finishing a PhD in Computer Science, Bioinformatics, Mathematics or Physics. 
  • (S)he should have good knowledge of one or more programming languages such as Perl/Python/Java/C/C++ and skills in R or Matlab would be useful. 
  • Experience with high-throughput data (gene expression microarrays and/or sequencing), comparative genomics and pathway analyses would be a distinct advantage.
  • The post-holder will be able to work effectively in a small team of bioinformaticians within the Thornton Group and collaborate effectively with experimental biologists from the labs at UCL. 
  • Strong scientific communication skills are a prerequisite, as are excellent English and interpersonal skills

Benefits:

EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation. The remuneration package comprises a competitive stipend, a comprehensive pension scheme and health insurance, and family related benefits where applicable. 

We have an informal culture, international working environment and excellent professional development opportunities but one of the really amazing things about us is the concentration of technical and scientific expertise – something you probably won’t find anywhere else. 

If you’ve ever visited the campus you’ll have experienced first-hand our friendly, collegial and supportive atmosphere, set in the beautiful Cambridgeshire countryside. Our staff also enjoy excellent sports facilities including a gym, a free shuttle bus, an on-site nursery, cafés and restaurant and a library.

Application Instructions:

To apply please submit a covering letter and CV, with two referees, through our online system.

Additional Information:

The start date for this position must be before 01.09.2018.

Applications are welcome from all nationalities - visa information will be discussed in more depth with applicants selected for interview.

EMBL-EBI is committed to achieving gender balance and strongly encourages applications from women, who are currently under-represented at all levels. Appointment will be based on merit alone.

Applications will close at 23:00 GMT on 31st May 2018.