[BioC] Job opening, KCL Breakthrough Breast Cancer Research Unit

Lawler, Katherine katherine.lawler at kcl.ac.uk
Thu May 2 15:38:35 CEST 2013


Dear all,

There is a bioinformatics post (NGS and high-density arrays) opening at the Breakthrough Breast Cancer Research Unit, King's College London. Please see below for details, closing 10th May.

best wishes,
Katherine
-

Job title: Research Analyst
Department/division: Breakthrough Breast Cancer Research Unit
Closing Date of vacancy: 10 May 2013
Salary: £33,654 - £39,705 per annum inclusive of London Allowance
Post duration: 2 years fixed term
http://www.kcl.ac.uk/depsta/pertra/vacancy/external/pers_detail.php?jobindex=13122

Informal enquiries are welcome and can be made to Dr Anita Grigoriadis (anita.grigoriadis at kcl.ac.uk).

Summary
The Breakthrough Breast Cancer Research Unit sits within the section of Research Oncology in the Division of Cancer Studies at the Guy’s Hospital Campus of King’s College London. Under the leadership of Professor Andrew Tutt, our research is entirely devoted to a specific type of breast cancer, called Triple Negative Breast Cancer (TNBC). Our goal is to advance research into the causes, diagnosis and treatment of TNBC. Our unit is a member of the Breakthrough network, providing us with the unique opportunity to partner with other research institutes to make the discoveries that defeat breast cancer. King’s College London is one of the 11 NIHR Biomedical Research Centres and provides state-of-the-art laboratory space, with excellent core facilities and funding.

Details
Applications are sought for a Research Analyst (Bioinformatician or Programmer) to provide support towards the analysis of high-throughput transcriptomic and genomic datasets. The successful applicant should have a quantitative background and relevant experience in analysing large biological datasets. Experience in the analysis of high-density array based and next generation sequencing (NGS) datasets is essential. A sound knowledge of statistical methodologies is required. Experience with statistical programming in R is particularly desirable.

Informal enquiries are welcome and can be made to Dr Anita Grigoriadis (anita.grigoriadis at kcl.ac.uk)

Job ref: R6/MOR/358/13-JM
Contact: For an application pack please click on the ‘Further details’ link. All correspondence should clearly state the job title and reference number R6/MOR/358/13-JM. If you have any queries please contact your Recruitment Co-ordinator at recruitmentteam3 at kcl.ac.uk



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