Bioinformatics Analyst

University of Cambridge, CRUK Cambridge Institute
Job Location
United Kingdom
£28,695 - £42,067
Job Description

Located at the heart of the Addenbrookes Biomedical Campus, the Cancer Research UK Cambridge Institute is one of the world's leading institutes for cancer research. Formed as a collaboration between Cancer Research UK and the University of Cambridge, the Institute emphasises a multi-disciplinary approach with the aim of linking the laboratory to the clinic and has state-of-the-art research facilities for over 300 scientists supported by outstanding on-site core services.

We are seeking a bioinformatics analyst to join the Bioinformatics Core Facility and play a key role in supporting the groundbreaking research carried out at the Institute. The Bioinformatics Core, currently 11 full-time positions, works closely with Institute research teams, developing techniques and providing support for analysis of data from high-throughput genomics and proteomics technologies.

This permanent, full-time role is an exciting opportunity to apply and develop your skills in support of cancer research projects that span a wide range of applications including gene expression profiling using RNA-Seq, ChIP-seq analysis of DNA-bound proteins, and cancer genome re-sequencing to identify SNPs, indels, copy number aberrations and structural variants. Encouragement and support will be provided to develop specialist knowledge and skill-sets.

Duties of the successful applicant would include:

Collaborating with research scientists; consulting on experimental design; data QC and statistical analysis; integration and visualization of data from multiple platforms Developing data analysis strategies and contributing to design and implementation of analysis pipelines using best-of-breed bioinformatics software packages/tools Preparing training materials and deliver training courses 


You will have a degree in a scientific or computational discipline and preferably a postgraduate degree (MSc or PhD) and/or significant experience in Bioinformatics or Computational Biology. You should have good programming/scripting skills (e.g. R, Python, Java) and a working knowledge of a range of bioinformatics software tools and database resources.

 The ideal candidate will be experienced in the use of statistical methods and/or software packages for analysing high-throughput sequencing data or microarray data, especially using R and associated Bioconductor packages. Experience in consulting with researchers on experimental design and bioinformatics analysis, and providing training, would be a distinct advantage.

The role requires excellent communication skills, involving regular interaction with research scientists and other bioinformaticians as well as contributing to training materials and courses. You will need to be highly organized with good time management skills to support multiple projects concurrently, with the ability to work well in a team.

How to Apply

Please apply at this link

Informal queries can be addressed to Suraj Menon: [email protected]

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