Job offer available in Scotland Research Associate (93464) at University of Strathclyde

FTE: 1.0 
Closing date: 12/11/2017

Applications are invited for a postdoctoral (or equivalent experience) Research Associate within the Department of Computer and Information Sciences to work on an EU funded research project called eSMART. The research project is evaluating a remote monitoring intervention to support patients with cancer receiving chemotherapy. eSMART is a 5-country, multi-site Randomised Controlled Trial.

The post is available immediately until 31/01/19.

The primary responsibilities of the post-holder will entail checking, correcting, cleaning and analysing the extensive set of quantitative data collected during the study. The successful applicant will have a background in computing science, mathematics or statistics.

As a Research Associate, under the general guidance of a research leader, you will develop research objectives and proposals, play a lead role in relation to a specific project/s or part of a broader project, conduct individual and/or collaborative research, contribute to the development of new research methods, identify sources of funding, and contribute to the securing of funds for research, including drafting grant proposals and planning for future proposals.

You will write up research work for publication, individually or in collaboration with colleagues, and disseminate the results via peer reviewed journal publications and presentation at conferences. You will join external networks to share information and ideas, inform the development of research objectives and to identify potential sources of funding. You will collaborate with colleagues to ensure that research advances inform departmental teaching effort and you will collaborate with colleagues on the development of knowledge exchange activities by, for example, participating in initiatives which establish research links with industry and influence public policy and the professions.

To be considered for the role, you will be educated to a minimum of PhD level in an appropriate discipline, or have significant relevant experience in addition to a relevant degree. You will have a good working knowledge of Microsoft Excel with the numerate ability to logically analyse data. You will have experience of dealing with complex, multi-dimensional data sets and advanced use of Excel and other statistical packages for data analysis.

Whilst not essential for the role, applications are welcomed from candidates who have experience of working in or have an awareness of the healthcare environment.

Dates for formal interviews for this post will be advised in due course.

Informal enquiries about the post can be directed to Professor Roma Maguire ( / 0141 548 3589).

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