Brighton and Sussex Medical School
Fixed term, 2 years, full time
Salary range: starting at £38,896 and rising to £46,414 per annum
Closing date for applications: 26 August 2016
Expected start date: 1 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.
Terms and conditions
Please send completed application form by email to: email@example.com
When emailing your application please use the following format in the 'subject' line: post reference number / post title / your name. If you are applying for more than one post advertised by the University, please send a separate email and application form for each post. Please attach your completed application form and any other documents directly to the email rather than using a web-based upload / weblink service (e.g. SkyDrive) otherwise we may not receive your application due to incompatibility with our email software.
Or post to: Human Resources Division, Sussex House, University of Sussex, Falmer, Brighton, BN1 9RH.
Applications should be received by midnight on the closing date.