|Salary:||£28,574 per annum (including London Allowance), Grade 6|
|Placed On:||11th January 2019|
|Closes:||25th January 2019|
The Department of Neuromuscular Diseases is a hub for clinical and research excellence across the spectrum of spinal cord and neuromuscular diseases. Our group of world-leading clinical, genetic and basic science researchers focus their work on understanding the causes and biological mechanisms leading to Neuromuscular Disease and translating this knowledge into developing novel therapeutic solutions that is of direct benefit to neurological disorders such as motor neurone disease, Alzheimer’s disease and neuromuscular disease.
We are currently looking for a Data Analyst to contribute to data management for a web resource platform, iMaps (https://imaps.genialis.com), which streamlines the interrogation of RNA-binding proteins with high-throughput sequencing data produced with the iCLIP method. The post holder will annotate, organise and upload data into the iMaps server, assist the biologists with the use of the server, and work closely with other bioinformaticians to establish iMaps as a public repository of all public CLIP data produced by different research groups.
The successful candidate will hold an Honours degree (minimum 2:1) in Molecular Biology or a related discipline. Experience with bioinformatics and genomics is essential as is IT proficiency at advanced user level (Spreadsheet, Word Processing, Database, Email, Web based applications). Applicants must have good inter-personal skills with an ability to work co-operatively in a multidisciplinary setting. Excellent organizational skills, with the ability to work efficiently on multiple sites is also required. Higher Degree in Molecular Biology is desirable.
The post is available immediately and is funded by a grant from the Wellcome Trust for eight months or until 11 September 2019 whichever is sooner. The post is graded as Grade 6, the salary for which is £28,574 per annum (including London Allowance).
You should apply for this post through UCL's online recruitment site – www.ucl.ac.uk/hr/jobs where you can download a job description and person specification using ref: 1785283.
If you have any queries regarding the application process, please contact Oksana Shapoval, HR Officer, UCL Queen Square Institute of Neurology, 23 Queen Square, London, WC1N 3BG (email: email@example.com).
Closing date: 25/01/2019
We particularly welcome applications from black and minority ethnic candidates, as they are under-represented within UCL at this level.
We will consider applications to work on a part-time, flexible and job share basis wherever possible.
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