Epidemiological Modeller Research Associate

Full-time (37 Hours per week)

Based at UKCEH Wallingford, Benson Lane, Crowmarsh Gifford, OX10 8BB

Interviews will be held on 28th/29th July 2022. 

About the role

We are seeking an enthusiastic and committed Research Associate Epidemiological Modeller to join an inter-disciplinary international team of scientists working to work on modelling a wide range of projects. The post will be based in the Population Ecology Group within the UKCEH Biodiversity Science Area that has eighteen full time staff and numerous affiliated PhD students. Research within the group address global challenges of the evolving burden of infectious diseases as well as invasive species threatening humans, animals, plants and ecosystems under environmental change. 

Main Responsibilities

• Co-design, develop and analyse agent-based models for predicting tick-borne disease risk
• Analyse data from project partners to parameterise models
• Model potential policy-relevant scenarios
• Processing relevant spatio-temporal environmental datasets
• Participate in stakeholder engagement activities, such as workshops, focus groups and placements to tailor project model frameworks to the needs of cross-sectoral stakeholders
• Communication of science to peers and other stakeholders using appropriate techniques (e.g. posters, oral presentations, reports, refereed publications, workshops, popular science articles)
• Contribute to funding bids and establishment of new collaborations within UKCEH and with external partners
• Develop their own research interest areas fitting into the Population Ecology group remit

Skills required upon appointment 

The successful candidate will come from an ecological, computational, mathematical or statistical background working on infectious diseases or environmental change issues, but must be able to demonstrate strong quantitative and modelling skills. 

Essential

• You will have a PhD or equivalent experience in a relevant field.
• Demonstrates advanced skills in quantitative epidemiology or ecology, which can be either mathematical or statistical
• Advanced programming skills in a relevant language (e.g. R, C or Matlab) and reproducible code
• Very good written and oral communication skills, evidenced by track record of publications and talks to scientific audiences
• Good team working skills, flexible research approach and the ability to develop effective internal and external collaborations within the scientific area
• Good organisational and time management skills, with an ability to work independently and to deadlines
• Understands the wider context of this area of research and how this fits into the international picture 
• Understands the importance of knowledge transfer and research impact, contributes to technology or knowledge exchange with stakeholders and the academic community 
• Provides innovative ideas that are of benefit to area of work
• Able to communicate effectively with scientific peers and seniors from different disciplines 

Desirable

• Experience in manipulating and analysing spatial and environmental datasets
• Developing scientific leadership skills including mentoring and training of scientists  

How to Apply
To apply for this position, click the link above. As well as a CV, please provide a covering letter detailing why you may be suitable for the role.

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