Department of Medical Statistics
Salary: £40,011 to £45,437 per annum, inclusive.
Closing Date: Friday 26 March 2021
The London School of Hygiene & Tropical Medicine is a world-leading centre for research and postgraduate education in public and global health. Our mission is to improve health and health equity in the UK and worldwide; working in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice.
We have an exciting opportunity for a (bio)statistician (computer scientist or mathematician), to undertake research combining state-of-the-art causal inference and machine learning approaches for optimal treatment decision rules, using high-dimensional electronic health records (amongst other data sources).
This three-year post is funded by a Royal Society-Wellcome Trust Sir Henry Dale Fellowship, recently awarded to Dr Karla DiazOrdaz. The Research Fellow will be part of a new, methodologically focused research group, with interactions with the Alan Turing Institute, Ghent University, and University of California Berkeley.
Applicants will need a PhD degree in statistics or a related discipline (machine learning, mathematics, data science), as well as some knowledge of either causal inference or machine learning. Previous research experience in a health-related area would be an advantage. Further particulars are included in the job description.
The post is full time and fixed-term for three years (with a possibility of extension) due to limited grant funding.
The salary will be on the Academic pathways Grade 6 in the range £40,011 to £45,437 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 ‘Director’s 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. Applications should also include the names and email contacts of 2 referees who can be contacted immediately if shortlisted. 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 firstname.lastname@example.org.
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.
- $ Salary Offer POA