Health Protection Research Unit (HPRU)
Department of Primary Care and Public Health
School of Public Health
Research Associate in Syndromic Surveillance and Modelling
Salary range: £33,410- £39,100 per annum depending on experience
Full-time, fixed-term for up to three years (preferred start date 1 October 2014)
Charing Cross and Hammersmith Campuses
Project Title: Healthcare-Associated Infections and Antimicrobial Resistance
Job Reference: SM181-14
It is estimated that Healthcare-Associated Infections affect hundreds of millions of patients around the world each year. Antimicrobial resistance is present in all parts of the world, and is an increasingly global threat to public health. This is a hugely exciting opportunity to get involved in these global health problems as part of a new venture between Imperial College London, Public Health England, The Wellcome Trust Sanger Institute, The North-West London Academic Health Science Network and Cambridge Veterinary School.
This new Health Protection Research Unit, funded by the National Institute for Health Research, aims to become a centre of excellence in multi-disciplinary health protection research. The Unit will carry out research into Healthcare-Associated Infection and Antimicrobial Resistance across four themes:
• Applied data linkage syndromic surveillance and modelling
• Applied Molecular Bacteriology
• Innovations in behaviour change, technology and patient safety to improve infection prevention and antimicrobial use
• Organisational Change, Sustainability and Evaluation
This post-holder will work within the “Applied data linkage, syndromic surveillance and modelling” theme to lead research on maximising the utility of existing data collected within the NHS and PHE for analysis and surveillance, to inform applied research, clinical practice, interventions and policy addressing AMR and HCAI, building upon existing collaboration with PHE. This post-holder will work under the direction of Professor Paul Aylin (Imperial College) and Professor Alan Johnson (Public Health England), to develop statistical and mathematical models of risk of infection initially focusing on urinary tract infections, infections due to E.coli, multidrug resistant (MDR) Gram-negative bacteria and staphylococci.
You will also work with the HPRU Data Manager and Research Assistant to obtain linked NHS data in order to develop and apply models for AMR surveillance, syndromic surveillance for surgical site infection and early outbreak detection.
Importantly, you will also have a “responsive research capacity role” which will require them to address any approved requests from Public Health England for additional research needed to assist them in fulfilling their role to protect the public and improve the nation’s health.
To apply you must have a PhD, or equivalent, in Epidemiology, Statistics, Health Services Research or a related numerate subject, competence in at least one statistical package e.g. SAS or STATA, proven experience of analysing quantitative data, some familiarity with NHS data and be willing to travel between Imperial College and PHE sites.
Our preferred method of application is online via our website at http://www3.imperial.ac.uk/employment (please select “Job Search” then enter the job title or vacancy reference number into “Keywords”). Please complete and upload an application form as directed quoting reference number.
Alternatively, if you are unable to apply online, please email [log in to unmask] to request an application form.
Closing Date: 16 Sept 2014 (Midnight BST)
Imperial Managers lead by example.
Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion and a Two Ticks Employer.
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|