|Salary:||£35,328 to £38,303 UCL grade 7 per annum including London Allowance|
|Placed On:||11th February 2019|
|Closes:||26th February 2019|
Applications are invited for an Image Analyst to implement image analysis by high-end image analysis programs within the research facility UCL IQPath, a research service providing the entire pathway of tissue processing, staining and image analysis. The current software platform uses Definiens Tissue Studio and Definiens Developer; open source software developed at Queen’s University Belfast is available in the context of this program. The purpose is to develop and implement a comprehensive set of analysis solutions that meet research needs. The post holder will become familiar with/undertake training in Definiens software components and their use, re-use and adapt existing bespoke solutions, identify undocumented analysis needs and translate these into user-oriented solutions, produce user guides, and deliver tutorials to all user levels.
Applicants must have a PhD or equivalent in a relevant subject, experience in image analysis and working with image analysis software such as Definiens Tissue Studio or comparable, the ability to develop algorithms for image analysis, and an in-depth understanding of statistical and analytical methodology. Excellent oral and written communication skills, strong problem-solving abilities, and good inter-personal skills are also required.
The post is available immediately and is funded jointly by departmental funds and a grant from CRUK for a period of three years in the first instance. Starting salary on UCL Grade 7 in the range £35,328 - £38,303 per annum, including London Allowance.
You should apply for this post through UCL's online recruitment – www.ucl.ac.uk/hr/jobs where you can download a job description and person specification using ref: 1791113.
For further information regarding the application process please contact Miss E Bertram, HR Manager, UCL Queen Square Institute of Neurology (email: IoN.HRAdmin@ucl.ac.uk).
We will consider applications to work on a part-time, flexible and job share basis wherever possible.
We particularly welcome applications from black and minority ethnic candidates as they are under-represented within UCL at this level.
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