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Bioinformatician/ Senior Bioinformatician

Salary in the region of £25,125 - £30,402 (Bioinformatician) plus excellent benefits

Salary in the region of £35,924 - £43,468 (Senior Bioinformatician) plus excellent benefits

Fixed Term for 3 years

The Wellcome Sanger Institute are seeking to recruit a Bioinformatician / Senior Bioinformatician who can facilitate the scientific work of the Jones group by leading the computational data analysis support for the team and their collaborators.

The group, led by Phil Jones, studies pre-cancer, how mutant cells evolve into cancers in humans and model systems (Jones Group). We are passionate about how mutant clones compete with each other and interact with the cancer promoting environment during epithelial cancer evolution in order to guide new cancer prevention therapy. Our cross disciplinary approach exploits quantitative methods to link mutation with changes in cell dynamics (see links 1-3 below). Recent work includes developing a new deep sequencing technique to reveal a high density of clonal mutations in normal human skin, basis of skin stem cell fate and developing new models of oesophageal cancer. The post holder will be able to exploit extensive bioinformatics expertise within the Institute.

Many of our experiments involve the generation of large quantities of DNA sequencing which require strong computational skills to build high quality data and carry out statistical analysis to interpret the results. Collaborating within the team with experimentalists and quantitative biologists to integrate genomic analysis with other types of data to resolve the cellular and tissue effects of mutations within tissues is a significant part of what we do.

You will be an excellent communicator and be able to understand the scientific background and technical detail of the team's projects, and be to be proficient at devising and implementing software solutions and statistical analysis. This role would suit a graduate with coding ability who wishes to contribute to understanding how cancer develops. Training in the background biology and computational skills will be provided. You will work in conjunction with other computational biologists in the group and with other teams at Institute.

  1. Martincorena I, Roshan A, Gerstung M, Ellis P, Van Loo P et al. Science 2015;348; 880-6. Tumor evolution. High burden and pervasive positive selection of somatic mutations in normal human skin. PUBMED: 25999502; DOI: 10.1126/science.aaa6806
  2. Roshan A, Murai K, Fowler J, Simons BD, Nikolaidou-Neokosmidou V and Jones PH. Human keratinocytes have two interconvertible modes of proliferation. Nature cell biology 2016;18;145-56. PUBMED: 26641719; DOI: 10.1038/ncb3282
  3. Frede J, Greulich P, Nagy T, Simons BD and Jones PH. A single dividing cell population with imbalanced fate drives oesophageal tumour growth. Nature cell biology 2016;18, 967-78. PUBMED: 27548914; DOI: 10.1038/ncb3400
Job Reference

Essential Skills

  • A degree or related to biology/genetics/computer science/mathematics
  • Research experience and/or PhD degree
  • Experience of bioinformatics and familiarity with genome data
  • Evidence of proficiency a modern computer language
  • Experience of researching/using/supporting external software packages
  • Ability to rapidly attain new technical skills and understanding of new technical concepts
  • A high level of interpersonal skills to be able to elicit complex requirements from, and convey complex information to, group members with different levels of technical knowledge
  • Ability to quickly adapt to new problems and ideas
  • Ability to work unsupervised
  • Excellent analytical skills
  • R and/or Python programming experience
  • Bioinformatics experience in analysis of Next Generation Sequencing.
  • Experience of working with biological analysis pipelines on multi-node compute clusters
  • Experience in pathway analysis software
  • Proficient in statistical analysis of genome-wide datasets

Ideal Skills

  • R and/or Python programming experience
  • Bioinformatics experience in analysis of Next Generation Sequencing.
  • Experience of working with biological analysis pipelines on multi-node compute clusters
  • Experience in pathway analysis software
  • Proficient in statistical analysis of genome-wide datasets
  • Research experience and/or PhD degree

Other information

The Wellcome Sanger Institute is a charitably funded research centre and committed to training the next generation of genome scientists. Focused on understanding the role of genetics in health and disease and a world leader in the genomic revolution, our mission is to use genome sequences to advance understanding of human and pathogen biology in order to improve human health. We aim to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens. Our science is large-scale and organised into Programmes, led by our Faculty who conceive and deliver our science, and supported by our Scientific Operations teams responsible for all data production pipelines at the Institute. 

Our Campus: Set over 125 acresthe stunning and dynamic Wellcome Genome Campus is the biggest aggregate concentration of people in the world working on the common theme of Genomes and BioData. It brings together a diverse and extraordinary scientific community, committed to delivering life-changing science with the reach, scale and imagination to solve some of humanity’s greatest challenges.  

The Campus is a community of organisations working in genomic research, enterprise, education and discourse. It is home to some of the world's foremost institutes and organisations in genomics and computational biology, including the Wellcome Sanger Institute which is the largest organisation on Campus, the European Bioinformatics Institute (EMBL-EBI), Open Targets and Genomics England.  Also located here is Connecting Science - its mission is to enable everyone to explore genomic science and its impact on research, health and society by drawing on the ground-breaking research taking place on the Campus.

Genome Research Limited is an Equal Opportunity employer. As part of our commitment to gender equality and promoting women’s careers in science, we hold an Athena SWAN Bronze Award. We will consider all applicants without discrimination on grounds of disability, sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.

Please include a covering letter and CV with your application. Closing date for applications: 15th April 2018

If you have any informal queries please contact Phil Jones