Assistant Professor in Disease Modelling
Health and Medical,Anatomy, Physiology and Pathology,Pharmacology, Toxicology and Pharmacy,Mathematics and Statistics,Mathematics,Statistics
Short info about job
Company: London School of Hygiene & Tropical Medicine
Department: Faculty of Epidemiology & Population Health
Salary: £44,978 to £51,490 per annum, inclusive
Hours: Full Time
Contract type: Fixed-Term/Contract
Type / Role: Academic or Research
Phone: +44-1558 3977020
Fax: +44-1454 6843078
Detail information about job Assistant Professor in Disease Modelling. Terms and conditions vacancy
We are recruiting an Assistant Professor to join our growing team of vaccine modellers and economists. Since 2011, the London School of Hygiene & Tropical Medicine (LSHTM) has supplied model-based estimates of the impact of different vaccines to the Bill & Melinda Gates Foundation (BMGF) and Gavi, the Vaccine Alliance.
Recently, the scope of this work has expanded with LSHTM becoming a founding member of the Vaccine Impact Modelling Consortium (VIMC). The Consortium groups LSHTM with other leading vaccine modelling groups including Imperial College (the secretariat), Cambridge University, Johns Hopkins University, Harvard University, Public Health England and the US Centers for Disease Prevention and Control.
The postholder will develop a programme of work aligned with the objectives of VIMC. They will advance vaccine modelling methodology and construct models to study the impact of vaccine investments in 96 low and lower-middle income countries. The Assistant Professor will also manage delivery of a portfolio of vaccine modelling work for funders, as well as apply for further funding to expand this work. The postholder will join a vibrant team of over 10 graduate students, research fellows and faculty members working on issues related to vaccine modelling and economics. Our team has successfully obtained large grants from a range of funders including the NIHR, MRC, BMGF, Gavi and WHO. We also collaborate closely with immunologists, epidemiologists and clinicians through LSHTM’s Vaccine Centre, as well as other infectious disease modellers through LSHTM’s Centre for Mathematical Modelling of Infectious Diseases.
The successful applicants will have PhDs in mathematical modelling, health economics, statistics, epidemiology or another relevant discipline with a strong quantitative component. Candidates should also demonstrate experience in mathematical modelling, preferably on infectious diseases, and have good publication record. The Assistant Professor should demonstrate scientific leadership potential and the ability to manage a complex portfolio of work for multiple stakeholders.
The post is based in London and available immediately. It is funded until March 2020, with the possibility for extension. The appointments will be made on LSHTM’s Academic Pathway Assistant Professor scale, £44,978 to £51,490 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 and in addition to this, there are a number of discretionary “Director’s Days”. Membership of the USS Pension Scheme is available.
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 [email protected] Please quote reference EPH-IDE-62.
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.