Full-Time Research Fellow in Spatial Epidemiology
Post: Research Fellow in Spatial Epidemiology
Grade: Research Fellow – Grade 6
Group/Department: Global Altas of Helminth Infection, Department of Disease Control
Main duties and responsibilities:
The main duties of the Research Fellow will include to:
- Undertake geospatial analysis and modelling of disease distributions using Bayesian geostatistical approaches
- Use computer simulation to evaluate alternative sampling and surveillance strategies for NTDs.
- Develop and implement new computational and statistical methods, including simulation algorithms to generate epidemiologically realistic data and evaluate alternative sampling and surveillance strategies.
- Deliver analytical input into the Global Burden of Disease Study in order to generate high spatial resolution DALY estimates for specific NTDs.
- Provide high-level statistical support to wider group working on the Global Burden of Disease Study.
- Identify or source additional information that could potentially help the investigation as the analysis progresses
- Prepare journal articles and address conferences, seminars and the media to disseminate research findings.
- Contribute to the Faculty teaching programme, up to 10% of your time per annum, subject to the policy of any funding agency (by agreement, some staff may make a greater contribution than this).
- Demonstrate continuous specialist development by acquiring and refining relevant skills and expertise in new or related areas through internal or external development activities.
- Contribute to the academic life of the School and build relationships and contacts to facilitate the future exchange of information.
Ideal candidates will have the following attributes and experience:
- Hold a PhD-level qualification in statistics, mathematical modelling, statistical epidemiology or relevant quantitative subject
- Extensive experience in statistical modelling and computer simulation, including modelling spatial and spatio-temporal stochastic process using MCMC and/or approximate inference approaches (e.g. INLA).
- Demonstrable experience in epidemiological and / or ecological analysis
- Strong programming skills in R
- Ability to work independently and as a member of a multi-disciplinary scientific team, with excellent attention to detail and time management skills
- Excellent written and verbal communication skills, including good publication record
Desirable qualifications and skills:
- Experience in GIS, including demonstrated experience in handling point, polygon and raster spatial data
- A theoretical and practical understanding of infectious disease epidemiology
SALARY AND CONDITIONS OF APPOINTMENT
The post is funded until 30 June 2017. Salary is on the Academic Pathway Salary scale from £37,477- £42,560 per annum. Annual leave entitlement is 30 working days per year for all staff. In addition, staff are entitled to public holidays and Director’s days on which the School is closed.
ASYLUM AND IMMIGRATION
The School will comply with the Immigration, Asylum and Nationality Act 2006, which requires all employees to provide documentary evidence of their legal right to work in this country prior to commencing employment. Candidates will be required to bring their passport (and visa if applicable) to interview so that it can be copied and verified.
This role does not meet the minimum requirements set by UK Visas and Immigration to enable sponsorship of migrant workers. Therefore we cannot progress applications from candidates who require sponsorship to work in the UK
Further information about Certificate of Sponsorship and eligibility to work in the UK, can be found at: www.ukba.homeoffice.gov.uk/employers/points