A mathematical modelling post to assess and develop mathematical models to underpin decision support tools relevant to future UK public health.
This post will provide specialist expertise through researching and developing innovative models to address strategic research questions in disease mitigation policy and emergency response planning. Working as part of an integrated multidisciplinary team and with external collaborators you will be a team player with excellent mathematical background, excellent report writing, some programming experience and awareness of modelling infectious disease processes. The successful candidate will be encouraged to apply for UK Security Clearance.
You will work within the Emergency Response Department Science & Technology (ERD S&T) multidisciplinary team that includes infectious disease biologists and epidemiologists, mathematical modellers, behavioural scientists, and specialists in geographic information systems and scientific computing. In partnership with others both within the PHE and from outside, ERD S&T collate data and information from across the world on new and emerging infectious disease threats including potential bioterrorist threats. This information is integrated with a wide range of other UK specific data in order to develop risk assessments and mathematical models and other IT/computer-based applications to assist with emergency planning, training and response functions.
MAIN DUTIES AND RESPONSIBILITIES
Assess, develop and document appropriate mathematical models to underpin the decision support tools that might be relevant to future UK public health.
Communicate clearly with non-mathematical partners (e.g. medical professionals and epidemiologists) ensuring that models output and the limitations and uncertainty on the outputs are clearly understood, sometimes taking a lead on this interaction as delegated by line management.
Abstract, evaluate and critically analyse qualitative and quantitative data from all sources relevant to the mathematical models that are developed.
Enhance the science base in this field by dissemination of findings and presentation of data in peer-reviewed publications, reports and at conferences, subject to appropriate IP protection and with due regard to funder interests.
Keep up-to-date with skills and knowledge in the application of epidemic and related modelling techniques / research, including through liaison with key players.
Assist in funding applications as appropriate, proactively leading grants in areas of responsibility.
- Public Health England
- Porton Down, Salisbury
- Closing date
- October 17th, 2018
- Posted on
- October 3rd, 2018 08:27
- Last updated
- October 3rd, 2018 08:27