Research Fellow in Statistics

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Organisation
London School of Hygiene & Tropical Medicine
Locations

London, United Kingdom

Application Deadline

The Inequalities in Cancer Outcomes Network is seeking a statistician to apply machine learning techniques to identify a sub-population at risk of developing pancreatic cancer using routine electronic health records (EHRs). This work follows on from a successful pilot study conducted in 2019-2020.

Pancreatic cancer has the lowest survival of all tumours: fewer than 10% of patients surviving five years. In 2016 almost 8,500 people in England were diagnosed with pancreatic cancer, making it the 8th most common type of cancer. This exciting post will examine the possibility of using electronic health records to screen for this malignancy. Funded by the Pancreatic Cancer Research Fund (PCRF), the study will first fine-tune the pilot study algorithm, then examine the ‘real life’ performance of the algorithm, and finally work with collaborators on an economic evaluation.

You must have a postgraduate qualification in statistics, medical statistics or equivalent, and demonstrate an aptitude for applied research in medical statistics. You must demonstrate experience in using machine learning techniques, and of programming in R Studio or an equivalent software. You should be able to work independently as well as collaboratively as part of a team. Publications, commensurate with experience are expected. Experience of working with EHR data and/or cancer epidemiology would be advantageous. Further particulars are included in the job description

This PCRF funded full-time position is available fixed-term from March 2022 until 31 October 2023 in the first instance.

The starting salary will be on the Academic pathway Grade 6 between £40,611 - £42,558 per annum (inclusive of London Weighting). The post will be subject to the LSHTM terms and conditions of service. Annual leave entitlement is 30 working days per year, pro rata for part-time staff. In addition to this there are discretionary “Wellbeing Days”. Membership of the Pension Scheme is available. The post is based in London at the London School of Hygiene & Tropical Medicine.

Applications should be made on-line via our website at http://jobs.lshtm.ac.uk. Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk.

The supporting statement section should set out how your qualifications, experience and training meet each of the selection criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable.

Please note that if you are shortlisted and are unable to attend on the interview date it may not be possible to offer you an alternative date.

Further details: Job Description

The London School of Hygiene & Tropical Medicine is committed to being an equal opportunities employer. We believe that when people feel respected and included, they can be more creative, successful, and happier at work. While we have more work to do, we are committed to building an inclusive workplace, a community that everyone feels a part of, which is safe, respectful, supportive and enables all to reach their full potential.


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