Research Fellow (Fixed Term) Ref 968

Brighton and Sussex Medical School
Shore-C Group

Fixed term, 2 years, full time
Salary range: starting at £39,324 and rising to £46,924 per annum
Closing date for applications: 7 November 2016


Previous applicants need not apply

We are seeking to appoint a Research Fellow to join the Sussex Health Outcomes Research and Education in Cancer (SHORE-C) unit at the University of Sussex. This is an exciting opportunity for an experienced researcher in applied statistics and/or psychology to become involved in the analysis of psychosocial data from the largest ever cancer screening trial in the UK. The SHORE-C unit is based in the Brighton and Sussex Medical School, and for the last 15 years it has collected vast amounts of data pertaining to health and ovarian cancer screening, sexual activity, mental health. Current research areas include analysis of quality of life in cancer trials, patient preferences for different treatments, cognition, communication and other interventional studies. The appointee would be working in a dynamic multidisciplinary team including cancer psychologists, clinical trial coordinators, data managers and statisticians.

The successful candidate will use their expertise in the analysis of large data sets and statistics to undertake large-scale analysis of the rich and diverse UKCTOCS psychosocial data. The post-holder would develop and carry out independent research in collaboration with Professor Dame Lesley Fallowfield and Dr Val Jenkins (SHORE-C), and Dr Konstantin Blyuss (Department of Mathematics). They would be responsible for preparation of reports, writing papers for publication in peer-reviewed journals, presenting their findings at meetings and research conferences.

Applicants are expected to have a PhD or equivalent qualification in Medical or Applied Statistics, Psychology, Epidemiology or related discipline.

Detailed understanding and knowledge of statistical techniques, as well as experience in using specialized software, such as R, for statistical analysis of large data sets from clinical and/or public health data systems is absolutely essential. Applicants should be able to demonstrate a track record of high-quality research publications, and have excellent interpersonal, oral and written communication skills with the ability to communicate statistical results to non-experts.

The post is offered as a fixed-term appointment for 2 years.

Ref 968 Further particulars including person specification [PDF 248.93KB]

Essential information

Terms and conditions

Research Faculty Terms and Conditions SUMMARY [DOC 36.00KB]


Application form - academic post [DOC 301.50KB]

Please send completed application form by email to:

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Applications should be received by midnight on the closing date.