Research Associate in Medical Informatics

University College London - UCL - Computer Science

The appointment will be on UCL Grade 7. The salary range will be £34,056 to £41,163 per annum, inclusive of London Allowance.

Based within the Intelligent Systems research group, the objective of the project is to interface with medical scientists to gather and analyse large-scale molecular and patient data to aid personalization of treatment. The project will involve working with national and international clinical and biological collaborators to develop and apply sophisticated models and algorithms carefully tuned to extract relevant biological and medical knowledge from systems-level real-world molecular and medical data. This includes whole genome sequences, epigenetic data, protein-protein interaction networks, signalling, metabolic networks, transcriptional regulation networks, gene and disease ontologies, drug similarity networks, drug-target interactions, drug-drug interactions, patient records, and lifestyle data.

The post is funded until 28 February 2018 in the first instance. Further funding to support the post may be available.

The successful candidate will hold a PhD, or will shortly be assessed for a PhD in Bioinformatics, Computer Science, Engineering, Physics or related discipline. They will have proven knowledge and track record in several of the following areas: bioinformatics, medical informatics, algorithms, statistics, machine learning, programming in C, C++, a scripting language and Matlab, using a parallel computing environment, scientific computing, data analysis, graph and complexity theory.

Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (salary £29,809 - £31,432 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis (including corrections).

UCL vacancy reference: 1604905

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below.

If you have any queries regarding the vacancy or the application process, please contact Prof. Natasa Przulj,, +44-(0)207-679-2235.

Closing Date: 10 December 2016.

Latest time for the submission of applications: 23:59.

Interview Date: TBC

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