IMPERIAL COLLEGE LONDON JOB DESCRIPTION Job Title: Research Associate in Bioinformatics (SM148-13) Department: Surgery and Cancer Division: Surgery Section: Computational and Systems Medicine Job Family/Level: Academic and Research, Level B Salary Range: £28,770 - £41,540 per annum Responsible to: Dr Zoltan Takats Main Working relationships: Professor Jeremy Nicholson, Professor Elaine Holmes, Dr Kirill Veselkov Contract: Full time, fixed term until 31 October 2015 Location: South Kensington Campus The purpose of the Post The post involves the development and testing of multivariate statistical analysis of imaging mass spectrometric datasets in the framework of the 3DMASSOMICS project. Key responsibilities: Development of novel statistical and data processing methods for the interpretation of two and three dimensional imaging data sets obtained by MALDI and DESI methods. Coding the newly developed algorithms as well as already established methods in MatLab and R environment. Embedding novel elements into already existing workflows. Development of user-friendly data analysis software environment. Managing the transfer and pre-processing of imaging datasets acquired within the Section or by other consortial partners within 3DMassomics project. Developing clinically oriented software tools for the identification and visualization of histological and histopathological features in human tissue samples using imaging mass spectrometric datasets. Responsible for managing data and metadata databasing. Liaising with the imaging mass spectrometry and histopathology teams regarding methods for data evaluation. Writing of scientific reports, including high quality publications. Other duties: Undertaking appropriate administration tasks. Attending relevant meetings. Observing and complying with all College policies and regulations, including the key policies and procedures on Confidentiality, Conflict of Interest, Data Protection, Equal Opportunities, Financial Regulations, Health and Safety, Imperial Expectations (for new leaders, managers and supervisors), Information Technology, Private Engagements and Register of Interests, and Smoking. Undertaking specific safety responsibilities relevant to individual roles, as set out on the College Website Health and Safety Structure and Responsibilities page (http://www3.imperial.ac.uk/safety/policies/organisationandarrangements). Undertaking any necessary training and/or development. Maintaining safe workplace practice and procedures in accordance with the requirements of Health and Safety legislation. To maintain an up to date knowledge of relevant statutory Health and Safety legislation and recommendations and attend safety training as required. Job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities. Imperial College is committed to equality of opportunity and of eliminating discrimination. All employees are expected to adhere to the principles set out in its Equal Opportunities in Employment Policy, Promoting Race Equality Policy and Disability Policy and all other relevant guidance/practice frameworks PERSON SPECIFICATION Qualifications Essential: A PhD or equivalent in a relevant numerical discipline Experience and Knowledge Essential: Research experience in an area of computational analysis of large volume of data (e.g. computational science, statistics, physics, bioinformatics or computational chemistry) Knowledge of signal processing, pattern recognition and related multivariate statistical tools for the analysis of large datasets Experience in object oriented programming (C or C#) Experience in designing GUI for scientific computing Fluent use of the MATLAB and/or R scientific programming environments Track record in publishing research in high quality journals Desirable: Experience of processing and modelling high-throughput biological data (gene expression, protein or metabolite) Track record of developing methods for the modelling of analytical data Skills and Abilities Essential: Proven ability in multivariate data analysis techniques (chemo-metrics, machine learning and pattern recognition) Proven ability in the development of intuitive graphical user and visualization interfaces for the analysis of large volumes of data Proven ability in scientific programming techniques Consistent and logically reasoned approach to data analysis Ability to prioritise own work in response to deadlines Ability to pursue multiple tasks in parallel, according to priority Ability to work autonomously and take responsibility Ability to work well within a team Ability to present research to wider scientific and lay audience Excellent written communication skills and the ability to write clearly and succinctly for publication Excellent verbal communications skills and the ability to give oral presentations Ability to work and communicate effectively with others across disciplinary boundaries Computer literate, good working knowledge of common office software Desirable: Proven ability to produce scientific software tools with GUI interfaces for the use by non-specialists APPLICATION GUIDANCE Please read the person specification carefully and describe, as part of your application, how much you feel you meet each of the criteria. If you attach a CV it should include the following information: Applicant’s full name, private address and private telephone number A confidential fax number and e-mail address, where possible Degrees (including University and dates) Past and present posts List of publications Brief description of future research plans Names, addresses and, email, fax numbers, of three referees. Thank you for your interest in this post. We look forward to receiving your application.