ZooLink: Postdoctoral Research Associate in Economics of Zoonotic Disease Surveillance

You will be based in the Department of Epidemiology and Population Health, one of three departments within the Institute of Infection and Global Health (IGH). The post is funded by a BBSRC ZELS project ZooLinK. We are seeking a Postdoctoral Research Associate to join Professor Rushton’s research group investigating the application of economics to One Health issues and very specifically to apply cost-effectiveness methods to zoonotic disease surveillance and the ZooLinK project team led by Professor Eric Fèvre. The project will involve travel to Kenya with field sites in Busia. The work will require collaboration with the national government, private companies in the livestock food systems and international agencies. You will work closely with colleagues working on the economics and social sciences of animal and One Health, as well as the veterinary and medical teams already active in the project.

This role will require you to use skills and expertise in epidemiology, social sciences, quantitative and qualitative data collection and analysis with guidance in the application of economics to:

• Define the best methods of data capture for costs of surveillance tools and methods such as sampling, diagnostics and data analytics
• Determine critical points of decision making in the surveillance process and type of information people are seeking to make decisions
• Understand the people and organisations involved in the decision making across the surveillance system and place these into a context of human health services and livestock food systems
• Assist in working towards better public policies and private standards on the application of surveillance of zoonotic diseases

The post is available until 30 September 2019, with successful implementation of the project, funding will be sought to extend the work.

Essential Skills:

You will have the following knowledge, experience and skills:

• PhD in economics of human or animal health or related discipline.
• Experience of data collection and analysis in human or animal health systems.
• An emerging record of high-quality publications in your field.
• Proven ability to solve problems and achieve objectives.
• Excellent interpersonal and communication skills.

Other information
The successful candidate will supervise staff in Kenya in the collection of data and its analysis. You will also be expected to contribute towards improving the use of economics and social sciences in animal health and One Health. When required, you will assist in supervising students and contribute to reports from the ZooLinK project.

To apply please visit: https://t.co/z5cKF32IuJ