The MRC Cancer Unit (MRC CU) is a University Department situated on the Cambridge Biomedical Campus. It provides an outstanding environment for cancer research, supporting some 10 research groups and ~150 bench scientists. The MRC CU's focus is to conduct world-leading research to understand how cancers develop and seeks to translate this knowledge into new approaches for diagnosis and treatment. The unit is a key participant in the Cambridge Cancer Centre, providing an opportunity to engage in interdisciplinary collaborations with Cambridge colleagues in the biological, physical, chemical and engineering sciences.
As part of a CRUK Grand Challenge award, a new analytical bioinformatics/software development opportunity, working with Dr Serena Nik-Zainal has arisen. The postholder will have primary responsibility of running existing analytical bioinformatics pipelines and/or analysing and developing new software within this young and versatile team. Our team works with large genomic and other -omic datasets to gain biological and mechanistic insights into patterns of mutagenesis or mutational signatures that arise in human cells. We are also avidly developing translation tools, taking our academic work towards clinical applications.
The successful candidate will be embedded in a multidisciplinary team, will lead on bioinformatics support, will interact with wet-lab as well as dry-lab scientists, pipelining new approaches, software and wrap-around infrastructure to support the team. In addition, the candidate will interact with current web developers in relation to the development of a public-facing website and database that will serve as a resource for mutational signatures. A dynamic individual who can bring new ideas/tools to this up-and-coming area and who is in search of novel technologies to improve bioinformatics systems will be highly valued.
The successful candidate will have a PhD in a relevant specialist subject such as Cancer Genomics, Bioinformatics, Computational Biology, Statistics or Computer Science. Strong statistical and quantitative skills; excellent programming skills; experience of processing and analysing Next Generation sequencing data; experience working, developing and compiling software tools in a UNIX/LINUX environment; familiarity with statistical modelling and software and experience with large data sets. They will enjoy working as part of a team but be experienced with managing own workload and will be able to communicate ideas and results effectively.
Fixed-term: The funds for this post are available until 30 April 2023 in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a security check. This appointment also requires a Research Passport application.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Please ensure that you upload a covering letter and CV in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
The closing date is 20 February 2019, with interviews expected to be held week commencing 25 February 2019.
Please quote reference SK18094 on your application and in any correspondence about this vacancy.
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