Research Fellow in Medical Statistics / Data Science

View All Vacancies
Health Services Research & Policy
Salary:  £40,611 to £46,119 per annum, inclusive.
Closing Date:  Wednesday 12 January 2022
Reference:  PHP-HSRP-2021-22

An exciting opportunity is available for an ambitious statistician / data scientist to undertake methodological research to identify cancer recurrence in linked national datasets. Together with members of a multidisciplinary team of statisticians, data scientists, epidemiologists and clinicians, state of the art statistical, data science and machine learning techniques will be required which will have far-reaching implications for cancer research.

The aim of the research is to develop and validate phenotypes of cancer recurrence using clinical rule-based methods, statistical modelling and machine learning methods. These phenotypes will also be used to demonstrate the clinical use of the recurrence indicators for patients with bowel cancer. The work will require the successful candidate to analyse large complex datasets using advanced regression modelling techniques, multiple imputation methods and machine learning methods. 

The successful candidate will have a postgraduate degree, ideally a doctoral degree in medical statistics, data science, epidemiology, operational research or a related field. Relevant experience in independently carrying out statistical analyses of complex health care datasets using statistical techniques is essential.  Further particulars are included in the job description.  

The post, funded by the NIHR, is available from 1st April 2022 and is funded until 31st March 2025.

The salary will be on the Academic Pathways scale at Grade 6 in the range £40,611 - £46,119 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 LSHTM.

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 [email protected]. Please quote reference PHP-HSRP-2021-22.  For more information about the role, please contact Dr Kate Walker ([email protected] ) or Professor Jan Van der Meulen ([email protected] ).

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.

Interviews are expected to take place on 27 January 2022. 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.

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.