Europe’s top cancer charity, Cancer Research UK, has combined with the University of Cambridge to fund the world class Cancer Research UK Cambridge Institute, situated on the Addenbrooke’s Biomedical Campus in Cambridge.

The Gilbertson laboratory at the CRUK – Cambridge Institute is looking to recruit a talented and dedicated Senior Bioinformatician, to join their research group working on understanding the fundamental differences between paediatric and adult tumour initiation and progression with a focus on paediatric brain tumours. The principle aim of the research within the lab is to reduce the morbidity and mortality of patients with cancer through improved understanding of tumour biology, the lab is currently working on projects studying the origins and treatment of Children’s brain tumours including WNT-medulloblastoma, Ependymoma, Choroid Plexus Carcinoma and understanding stem cell potency.

The successful candidate will work with multi-omic datasets from whole genome sequencing (WGS), whole transcriptome sequencing (RNA-SEQ), single cell RNA sequencing (sc-RNA-SEQ), Chromatin IP sequencing (ChIP-SEQ) and proteomics. The role holder will participate in the research activities of the laboratory as a whole and will also be expected to contribute their own innovative ideas, resulting in potential independent projects. The appointed individual will play a fundamental role in analysing the data produced by projects and generating hypotheses that will then be tested using animal models and ex-vivo systems. They will work in close contact with wet-lab scientists producing the data and also with core facility scientists and the larger community of bioinformaticians within the institute.

The successful candidate(s) should have a strong background in bioinformatics, statistics and mathematical modelling, and prior experience working with both single-cell and bulk genomic and transcriptomic data. Excellent computer skills (programming including an advanced knowledge of R, linux shell, and sequencing analysis software) are essential. Prior experience with single-cell data analysis packages is desirable. A PhD in a relevant discipline (biology, mathematics, statistics or similar) is desirable but not essential. Some amount of wet lab experience (in particular in cell or molecular biology) would be an advantage.

Candidates are expected to work independently and interact well in a dynamic multi-disciplinary team environment. They must display an ability to undertake project management, methods development and communicate ideas and results clearly.

Fixed-term: The funds for this post are available for 3 years in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a security check.

For more information on the research project or the suitability of your research experience for the role, please email anna.nicholson@cruk.cam.ac.uk.

We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.

Click the ‘Apply’ button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that you upload a CV and the names and contact details of two referees; a cover letter explaining why you wish to be considered for this particular role, what you will bring to the project and listing your research experience to date 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 for applications is 11 September 2019.

Please quote reference SW18134 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

CORE/FACILITY
Gilbertson Lab
SALARY
£36,261-£48,677
REFERENCE
SW18134
CATEGORY
Academic-related
PUBLISHED
13 Aug 2019
CLOSING DATE
11 Sep 2019
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