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Postdoctoral Fellow - Bacterial Evolutionary Biology: UK

The Wellcome Sanger Institute is seeking a talented, motivated scientist with a strong interest in, and experience of, analyzing genomes and large genomic datasets to gain insights into the patterns and drivers of pathogen evolution. Ideally you would have biological or mathematical/statistics background with a demonstrated interest in developing bioinformatic skills or have proven track record of applying existing skills toward the analysis of complex genomic datasets.

The position you are applying for falls within the Bacterial Genomics and Evolution faculty team, under the leadership of Professor Nick Thomson. We use genomic approaches to explore questions of basic science relating to the evolution and spread of bacterial pathogens in both humans and animals. We have established, over many years, strong collaborations with groups working on infectious diseases in local as well as national public health settings, NGO’s and leading research institutes around the world, providing access to people, resources and incredible datasets. We have a specialist interest in the evolution and spread of diarrhoeal disease (both the pathogen[s], their host[s] and the role of the microbiota) and tropical diseases. The team has a broad range of lab and informatics experience, and works collaboratively to analyse complex datasets with a history of developing novel informatics and lab-based approaches for accessing genomic and transcriptomic data.

This position would place you within a Faculty team within the Parasites and Microbes Programme, all set within a world leading genomics institute. You would be working closely with informaticians, wet-lab biologists, Postdoctoral Fellows and PhD students within the group and across this programme. You will be required to coordinate analysis of multiple project datasets and identify and establish new collaborations and projects, as well as to form part of an integrated team. The candidate will have substantial support and opportunities to broaden their skill-set and further their career.

Essential Skills

  • Ph.D. in biological or mathematical/statistics discipline
  • the ability to analyse and interpret genomic data with strong quantitative/computational skills
  • detail oriented and highly organised
  • self-motivated, able to work independently and organise own workload
  • ability to prioritise
  • ability to interact professionally and productively with other members of a team
  • data handling skills
  • proven track record of publishing papers

Ideal Skills

  • excellent communication skills
  • interest in mentoring and developing others
  • experience developing novel approaches to analysing genomic sequence data
  • experience working with international collaborators
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