BACKGROUND

RESPONSIBILITIES

• Provide bioinformatics analysis, support and interpretation for a variety of research and/or drug discovery projects.
• Work closely with other members of the department and project teams to deliver the scientific outputs to the projects.
• Stay abreast of the computational biology literature. Horizon scan for state-of-the-art tools and technologies that apply to the area of research.
• Develop innovative pipelines for large-scale data analysis.
• Report the results of bioinformatics analyses to research teams across the organisation.
• Contribute to publications, project reports and patents.
• Work and communicate with a diversity of scientific teams relating to individual projects.
• Present work at internal and external meetings.
• Deliver high quality work against clear deadlines.

REQUIREMENTS

• PhD in Cancer Biology, Genetics, Computer Science or associated subject
• A minimum of two years postgraduate experience working in bioinformatics or computational biology in cancer genomics or an associated field
• Proven experience of bioinformatics analyses and interpretation in one or more of the following key areas:
  
  • Transcriptomics, including next generation RNA-Seq pipelines for profiling transcriptional and splicing deregulation and RNA editing
  • Genomics, including mutation and copy number profiling of exome and whole genome NGS DNA-Seq data, using analysis pipelines such as the Broad Best Practice workflows
  • Quantitative Proteomics, including SILAC and TMT data analysis using relevant software such as MaxQuant
• Proven experience in the development of software pipelines to implement analysis workflows
• Proven experience in use of high performance computing platforms and Unix-like operating systems
• Proven experience of writing and maintaining code using one or more of the following: Python, Perl, R, Matlab, Git
• A good working knowledge of bioinformatics suites including NGS analysis pipelines such as Broad Best Practice workflows
• Ability to implement analysis pipelines using appropriate and relevant scripting languages such as Python, Perl, R or Matlab
• Ability to effectively work on HPC systems in a Unix environment
• Ability to keep abreast of and rapidly become familiar with new bioinformatics tools and databases
• Ability to write reports that clearly convey information to other scientists

COMPENSATION

HOW TO APPLY